Extension session 6/18/2026 02:11 AM

Created: 2026-06-18T02:11:58.785Z

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1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Gener
1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files Welcome to Introduction to In-context Learning.
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After watching this video, you'll be able to describe in-context learn
After watching this video, you'll be able to describe in-context learning.
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You will also be able to explain the fundamentals of prompt engineerin
You will also be able to explain the fundamentals of prompt engineering.
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In-context learning is a specific method of prompt engineering where d
In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.
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However, in-context learning doesn’t require additional training.
However, in-context learning doesn’t require additional training.
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A new task is learned from a small set of examples presented within th
A new task is learned from a small set of examples presented within the context or prompt at inference time.
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Let's understand some advantages and disadvantages of in-context learn
Let's understand some advantages and disadvantages of in-context learning.
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46 It eliminates the need for continual fine-tuning, allowing the mo
:46 It eliminates the need for continual fine-tuning, allowing the model to adapt and learn within its context.
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Here is an example of a prompt given to GPT 3.5.
Here is an example of a prompt given to GPT 3.5.
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The wind is This simple prompt leads to a poetic response.
The wind is This simple prompt leads to a poetic response.
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Benefits include modularity, extensibility, decomposition capabilities
Benefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases.
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Several practical applications include deciphering complex legal docum
Several practical applications include deciphering complex legal documents, extracting key statistics from reports, customer support, and automating routine writing tasks.
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LangChain can be used with other data types by using external librari
LangChain can be used with other data types by using external libraries and models.
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Press [CTRL + S] to save as a note And graded assessments prove what
Press [CTRL + S] to save as a note And graded assessments prove what you’ve learned, leading to a shareable badge and certificate that you can show prospective employers.
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We’re here to support your success, and we’re excited that you’re here
We’re here to support your success, and we’re excited that you’re here.
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And graded assessments prove what you’ve learned, leading to a shareab
: And graded assessments prove what you’ve learned, leading to a shareable badge and certificate that you can show prospective employers.
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A comprehensive security program must contain confidentiality, integri
A comprehensive security program must contain confidentiality, integrity, and availability.
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Confidentiality means that data is protected from unauthorized access.
Confidentiality means that data is protected from unauthorized access.
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Integrity means that data is protected from unauthorized changes.
Integrity means that data is protected from unauthorized changes.
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And, availability means you have access to your data whenever you need
And, availability means you have access to your data whenever you need it.
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When confidential data is exposed beyond the intended audience, it cau
When confidential data is exposed beyond the intended audience, it causes risk.
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54 Confidential information is kept secret to prevent identity theft
:54 Confidential information is kept secret to prevent identity theft, compromised accounts and systems, legal concerns, damage to reputation, and other severe consequences.
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To determine if data should be confidential, ask: Who is authorized?
To determine if data should be confidential, ask: Who is authorized?
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Are there conditions for when data can be accessed?
Are there conditions for when data can be accessed?
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What would the impact of disclosure be?
What would the impact of disclosure be?
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Cybercriminals are always after sensitive information or personal data
Cybercriminals are always after sensitive information or personal data.
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Course Overview Welcome to the Cybersecurity Essentials for Everyone c
Course Overview Welcome to the Cybersecurity Essentials for Everyone course.
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This course has been thoughtfully designed to introduce you to the cor
This course has been thoughtfully designed to introduce you to the core principles and practices of cybersecurity—skills that are increasingly vital in today’s digital world.
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Throughout the course, you'll gain practical knowledge of key cybersec
Throughout the course, you'll gain practical knowledge of key cybersecurity concepts, tools, and techniques used to protect data, systems, and networks from common threats.
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Additionally, you’ll develop the ability to troubleshoot common securi
Additionally, you’ll develop the ability to troubleshoot common security issues in a Windows Server environment.
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To support your learning, each module includes hands-on labs that simu
To support your learning, each module includes hands-on labs that simulate real-world scenarios.
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These culminate in a final practical project that allows you to demons
These culminate in a final practical project that allows you to demonstrate your newly acquired skills in a tangible way.
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No prior experience in cybersecurity is needed.
No prior experience in cybersecurity is needed.
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This course is designed for beginners and serves as an excellent start
This course is designed for beginners and serves as an excellent starting point for anyone looking to pursue further study or a career in the field.
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After completing this course, you will be able to: Articulate the fund
After completing this course, you will be able to: Articulate the fundamentals of cybersecurity and explain why they matter in today’s digital landscape.
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Identify and describe common cyber threats such as malware, phishing
Identify and describe common cyber threats such as malware, phishing, and ransomware, along with strategies used to mitigate them.
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They may be set by us or by third party providers whose services we ha
They may be set by us or by third party providers whose services we have added to our pages.
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If you do not allow these cookies then some or all of these services m
If you do not allow these cookies then some or all of these services may not function properly.Marketing CookiesAlways ActiveThese cookies may be set through our site by our advertising partners.
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They may be used by those companies to build a profile of your interes
They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites.
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They are based on uniquely identifying your browser and internet devic
They are based on uniquely identifying your browser and internet device.
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If you do not allow these cookies, you will experience less targeted a
If you do not allow these cookies, you will experience less targeted advertising.
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Information is a summary of the raw data.
Information is a summary of the raw data.
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For example, positive or negative results that happen after some speci
For example, positive or negative results that happen after some specific change.
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And, insights are conclusions based on the results of information anal
And, insights are conclusions based on the results of information analysis.
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Meaningful business decisions are based on insights.
Meaningful business decisions are based on insights.
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For example, If a positive trend occurs after store hours are changed
For example, If a positive trend occurs after store hours are changed, the right business decision would be to maintain those new hours.
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Intellectual property (or IP) refers to creations of the mind and gene
Intellectual property (or IP) refers to creations of the mind and generally are not tangible.
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It's often protected by copyright, trademark, and patent law.
It's often protected by copyright, trademark, and patent law.
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Industrial designs, trade secrets, and research discoveries are all
Industrial designs, trade secrets, and research discoveries are all examples of IP.
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Even some employee knowledge is considered intellectual property.
Even some employee knowledge is considered intellectual property.
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Companies use a legally binding document called a Non-Disclosure Agre
Companies use a legally binding document called a Non-Disclosure Agreement (or an NDA) to prevent the sharing of sensitive information.
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Willkommen bei „Sicherheit und Datenschutz“.
Willkommen bei „Sicherheit und Datenschutz“.
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Ein Informationsgut sind Informationen oder Daten, die von Wert sind.
Ein Informationsgut sind Informationen oder Daten, die von Wert sind.
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Beispiele hierfür sind Patientenakten, Kundeninformationen und geistig
Beispiele hierfür sind Patientenakten, Kundeninformationen und geistiges Eigentum.
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Informationsbestände können physisch, auf Papier , Festplatten oder an
Informationsbestände können physisch, auf Papier , Festplatten oder anderen Medien oder elektronisch in Datenbanken und Dateien vorhanden sein.
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Bei der Datenanalyse werden Rohdaten wie Werte oder Fakten verwendet
Bei der Datenanalyse werden Rohdaten wie Werte oder Fakten verwendet, um aussagekräftige Informationen zu erstellen.
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Daten sind Rohwerte und Fakten, die normalerweise von automatisierten
Daten sind Rohwerte und Fakten, die normalerweise von automatisierten Systemen gesammelt werden.
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Zum Beispiel Seitenbesuche, Linkklicks, monatliche Verkäufe.
Zum Beispiel Seitenbesuche, Linkklicks, monatliche Verkäufe.
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Informationen sind eine Zusammenfassung der Rohdaten.
Informationen sind eine Zusammenfassung der Rohdaten.
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Zum Beispiel positive oder negative Ergebnisse, die nach einer bestimm
Zum Beispiel positive oder negative Ergebnisse, die nach einer bestimmten Änderung auftreten.
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Erkenntnisse sind Schlussfolgerungen, die auf den Ergebnissen der Info
Erkenntnisse sind Schlussfolgerungen, die auf den Ergebnissen der Informationsanalyse basieren.
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Module 1 Common Security Threats and Risks Module 2 Security Best Prac
Module 1 Common Security Threats and Risks Module 2 Security Best Practices Module 3 Safe Browsing Practices Module 4 Final Exam and Project Hands-on Lab: Windows Update Course Introduction Video .
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Duration: 3 minutes 3 min Course Overview Reading .
Duration: 3 minutes 3 min Course Overview Reading .
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Duration: 10 minutes 10 min Confidentiality, Integrity, and Availabili
Duration: 10 minutes 10 min Confidentiality, Integrity, and Availability Video .
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Duration: 5 minutes 5 min Security and Information Privacy Video .
Duration: 5 minutes 5 min Security and Information Privacy Video .
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Duration: 8 minutes 8 min Activity: Exploring Information Privacy Ungr
Duration: 8 minutes 8 min Activity: Exploring Information Privacy Ungraded Plugin .
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Duration: 5 minutes 5 min Intellectual Property and Types of Confident
Duration: 5 minutes 5 min Intellectual Property and Types of Confidential Information Reading .
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Duration: 5 minutes 5 min Microsoft Windows Server Lab Environment Vid
Duration: 5 minutes 5 min Microsoft Windows Server Lab Environment Video .
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Duration: 2 minutes 2 min Threats and Breaches Video .
Duration: 2 minutes 2 min Threats and Breaches Video .
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Duration: 7 minutes 7 min Hands-on Lab: Windows Update Ungraded App It
Duration: 7 minutes 7 min Hands-on Lab: Windows Update Ungraded App Item .
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Duration: 45 minutes 45 min Threat Types Video .
Duration: 45 minutes 45 min Threat Types Video .
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This next capability I'm going to talk about is really one that you ca
This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or computer scientist.
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But you can use it in conjunction with somebody else who is really goo
But you can use it in conjunction with somebody else who is really good at those things if you aren't a programmer or computer scientist.
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If you're an organization that has a bunch of programmers or you have
If you're an organization that has a bunch of programmers or you have a friend that it's a programmer, this is a way that you could do that.
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It's a very exciting one from the perspective of software development.
It's a very exciting one from the perspective of software development.
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One of the challenges that we have is we have all these little tools t
One of the challenges that we have is we have all these little tools that we would like to have to help us out.
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All day long when I'm working and thinking it'd be really nice to have
All day long when I'm working and thinking it'd be really nice to have a piece of software that did this and simplified this process for me.
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Sometimes as a software engineer, I'll go and take the time to actuall
Sometimes as a software engineer, I'll go and take the time to actually write the software to do that.
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The Code Interpreter creates an intriguing new possibility where we ca
The Code Interpreter creates an intriguing new possibility where we can actually turn a conversation with Code Interpreter into software.
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It could delete all the files for all you know, if you can't read the
It could delete all the files for all you know, if you can't read the code.
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We 100% know that large language models can make mistakes, and you nee
We 100% know that large language models can make mistakes, and you need to pay attention to the code that comes out of what I'm going to show you, and if you can't read it and understand it, you should not proceed.
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I want to help you gauge the difficulty of a task that you're about to
I want to help you gauge the difficulty of a task that you're about to start with Code Interpreter.
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Now, the reason for this is when you get started, you're going to have
Now, the reason for this is when you get started, you're going to have all ideas of things that you can go and try.
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But I want you to have a way of understanding how difficult each of yo
But I want you to have a way of understanding how difficult each of your ideas are going to be to accomplish.
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If you understand two basic things that we're going to talk about, you
If you understand two basic things that we're going to talk about, you'll be much better off in terms of gauging the difficulty of accomplishing a particular task.
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Those two things are, if you want to know how difficult a particular t
Those two things are, if you want to know how difficult a particular task is going to be, we want to go and look at the document or data that we're going to work with.
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The first question we want to ask is how structured or unstructured is
The first question we want to ask is how structured or unstructured is that data?
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Structured data is something like a table.
Structured data is something like a table.
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If you've got a bunch of tables that you're trying to read through and
If you've got a bunch of tables that you're trying to read through and it's all in Excel format, that's a structured format.
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This is an example here where I'm uploading a CSV file, that is a stru
This is an example here where I'm uploading a CSV file, that is a structured format.
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It's some very clearly marked format where you know what all the parts
It's some very clearly marked format where you know what all the parts are.
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We can always go and upload individual files and download individual f
We can always go and upload individual files and download individual files to code interpreter, and we can certainly get by that way.
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It also allows us to do interesting things, like when you have a zip f
It also allows us to do interesting things, like when you have a zip file, it can actually have a folder hierarchy inside of it.
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Or we can give additional things or tools or other possibilities, bits
Or we can give additional things or tools or other possibilities, bits of python code, anything we want to do to code interpreter.
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But I'm going to give you a simple example of why an archive is so hel
But I'm going to give you a simple example of why an archive is so helpful.
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Let's imagine that you have a series of images, and you want to go and
Let's imagine that you have a series of images, and you want to go and apply a transformation to them.
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You want to make them much more stylized, apply some filter to them.
You want to make them much more stylized, apply some filter to them.
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So, I'm going to upload an archive full of images to code interpreter.
So, I'm going to upload an archive full of images to code interpreter.
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But this could be an archive of any of your files.
But this could be an archive of any of your files.
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It could be an archive full of Excel files that you want to combine.
It could be an archive full of Excel files that you want to combine.
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It might be an archive full of Excel files, and you want a specific vi
It might be an archive full of Excel files, and you want a specific visualization built for every single individual Excel file.
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Code Interpreter is really useful for working with media.
Code Interpreter is really useful for working with media.
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If you have videos, if you have audio files, if you have collections o
If you have videos, if you have audio files, if you have collections of images, working with all of them, you can do a lot of things really quickly.
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So I'm going to give you an example of this.
So I'm going to give you an example of this.
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He loves to go and do BMX racing and do dirt jumps and all kinds of in
He loves to go and do BMX racing and do dirt jumps and all kinds of interesting things.
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I've uploaded this video and I'm going to do a simple extraction.
I've uploaded this video and I'm going to do a simple extraction.
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I'm going to take 10 frames out of this video, and then I'm going to d
I'm going to take 10 frames out of this video, and then I'm going to do some things with them.
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You can go and play around with media and do all kinds of interesting
You can go and play around with media and do all kinds of interesting things.
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I encourage you, after you do this, take an image, upload it, and try
I encourage you, after you do this, take an image, upload it, and try experimenting with doing different operations on the image.
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I'm just going to go and say extract 10 frames from this video evenly
I'm just going to go and say extract 10 frames from this video evenly spaced apart.
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This is something I would probably have to go and look up some command
This is something I would probably have to go and look up some command line tool.
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When your agent answers the wrong question or repeats a task, it's tem
When your agent answers the wrong question or repeats a task, it's tempting to fix the output.
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But to build intelligent systems, you have to debug the behavior, not
But to build intelligent systems, you have to debug the behavior, not just the result.
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Let's look at how to break down what your agent did, why it did it, an
Let's look at how to break down what your agent did, why it did it, and how to fix it.
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why debugging agents means analyzing behavior, not just fixing broken
why debugging agents means analyzing behavior, not just fixing broken outputs.
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What kinds of bugs emerge from decision loops, memory use and tool log
What kinds of bugs emerge from decision loops, memory use and tool logic?
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Key questions to ask when tracing agent reasoning and response failure
Key questions to ask when tracing agent reasoning and response failures.
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How to design tests that evaluate reasoning chains, fallback handling
How to design tests that evaluate reasoning chains, fallback handling and memory updates.
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How to use logs and traces to identify where and why agent behavior br
How to use logs and traces to identify where and why agent behavior breaks down.
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You need to inspect not just what the agent said, but what it believed
You need to inspect not just what the agent said, but what it believed was true at the time.
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When debugging an agent, ask yourself, did it perceive the input corre
When debugging an agent, ask yourself, did it perceive the input correctly?
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Congratulations, you've completed Building AI Agents for Complex Tasks
Congratulations, you've completed Building AI Agents for Complex Tasks.
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This course wasn't just about crafting clever bots.
This course wasn't just about crafting clever bots.
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It was about understanding how to build intelligent systems, agents th
It was about understanding how to build intelligent systems, agents that perceive, plan, and act in complex real-world environments.
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Let's take a moment to reflect on what you've accomplished.
Let's take a moment to reflect on what you've accomplished.
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Agent Architecture Fundamentals You explored the core types of agent d
Agent Architecture Fundamentals You explored the core types of agent design – reactive, deliberative, and hybrid – and learned how they behave under dynamic conditions.
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Perception and Decision Logic You saw why successful agents need struc
Perception and Decision Logic You saw why successful agents need structured decision-making and planning – not just responses, but reasoning chains that adapt in real-time.
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Hands-on Frameworks and Builds You built and tested real agents using
Hands-on Frameworks and Builds You built and tested real agents using tools like LangChain and Rasa, integrating memory, tools, and multi-step logic into workflows that execute autonomously.
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Failure Evaluation and Debugging You practiced analyzing agent logs, s
Failure Evaluation and Debugging You practiced analyzing agent logs, spotting failure points, and applying fixes that improved reliability, context retention, and goal completion.
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Designing for Adaptability You learned that building intelligent agent
Designing for Adaptability You learned that building intelligent agents isn't just about getting the right answer.
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It's about designing systems that improve, recover, and adapt under pr
It's about designing systems that improve, recover, and adapt under pressure.
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Project: Design and Deploy a Real-World AI Agent What to expect This i
Project: Design and Deploy a Real-World AI Agent What to expect This is a practice assignment to help you check your understanding.
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It doesn’t count toward your course grade.
It doesn’t count toward your course grade.
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Imagine an agent that doesn't just act, but learns from each action to
Imagine an agent that doesn't just act, but learns from each action to refine its future decisions.
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That's what systems like Baby AGI and AlphaCode demonstrate.
That's what systems like Baby AGI and AlphaCode demonstrate.
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Feedback loops that drive intelligent behavior.
Feedback loops that drive intelligent behavior.
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Baby AGI is an open-source agent that simulates autonomous goal pursui
Baby AGI is an open-source agent that simulates autonomous goal pursuit.
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You give it a high-level objective, like grow a Twitter following, and
You give it a high-level objective, like grow a Twitter following, and it breaks it into tasks, ranks them, and executes them one at a time.
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After each task, it evaluates the result, reprioritizes, and adjusts t
After each task, it evaluates the result, reprioritizes, and adjusts the task list.
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By the end of this video, you will be able to describe how Baby AGI us
By the end of this video, you will be able to describe how Baby AGI uses task loops and prioritization to simulate autonomous goal pursuit.
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Explain how AlphaCode leverages trial and selection to solve complex c
Explain how AlphaCode leverages trial and selection to solve complex coding problems.
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Identify the role of feedback and iteration in improving agent behavio
Identify the role of feedback and iteration in improving agent behavior.
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Differentiate between static automation and adaptive intelligence in a
Differentiate between static automation and adaptive intelligence in agent design.
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And suddenly, what worked in a controlled test breaks in production.
And suddenly, what worked in a controlled test breaks in production.
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This reading explores the common edge cases and failure modes that aff
This reading explores the common edge cases and failure modes that affect intelligent agents.
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You'll look at how agents can fall into infinite loops, forget past co
You'll look at how agents can fall into infinite loops, forget past context, over-trigger fallback behavior, or misfire on tool selection.
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You'll also see how poorly managed memory and misaligned decision logi
You'll also see how poorly managed memory and misaligned decision logic can lead to behaviors that technically work—but feel unintelligent or broken to the user.
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By walking through real-world examples and code snippets, you'll begin
By walking through real-world examples and code snippets, you'll begin to recognize not just how agents fail—but why they fail, and how you can design against these pitfalls from the start.
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Duration: 6 minutes 6 min Introduction and Welcome Video .
Duration: 6 minutes 6 min Introduction and Welcome Video .
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Duration: 2 minutes 2 min How AI Agents Perceive the World Around Them
Duration: 2 minutes 2 min How AI Agents Perceive the World Around Them Video .
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Deliberative Agents in the Real World Video .
Deliberative Agents in the Real World Video .
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AutoGPT – Choosing the Right Agent Model Video .
AutoGPT – Choosing the Right Agent Model Video .
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Duration: 4 minutes 4 min HOL: Practice Classifying Agent Types in Rea
Duration: 4 minutes 4 min HOL: Practice Classifying Agent Types in Real-World Use Cases Practice Assignment .
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Duration: 10 minutes 10 min Justify Your Agent Classifications Dialogu
Duration: 10 minutes 10 min Justify Your Agent Classifications Dialogue .
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These cookies are automatically enabled and cannot be turned off becau
These cookies are automatically enabled and cannot be turned off because they are required for the Site to function properly.
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These cookies allow us to understand how visitors use the Site to enha
These cookies allow us to understand how visitors use the Site to enhance the content, quality, and features of the Site and the services.
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For example, these cookies allow us to recognize and count the number
For example, these cookies allow us to recognize and count the number of visitors and understand how visitors move around the Site when using it.
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These cookies enable the website to provide enhanced functionality and
These cookies enable the website to provide enhanced functionality and personalization.
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Picture this, you're building an AI customer service agent.
Picture this, you're building an AI customer service agent.
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It needs to access your CRM, check inventory levels, process payments
It needs to access your CRM, check inventory levels, process payments, and update support tickets.
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With traditional approaches, you'd need to build four different connec
With traditional approaches, you'd need to build four different connectors, each with its own authentication, data format, and error handling.
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Luis, a full-stack and AI engineer, lived this nightmare while consult
Luis, a full-stack and AI engineer, lived this nightmare while consulting for a retail company.
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Their AI recommendation engine needed data from 12 different systems
Their AI recommendation engine needed data from 12 different systems, customer data, inventory, pricing, reviews, shipping, and more.
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The engineering team spent 60% of their time maintaining connectors in
The engineering team spent 60% of their time maintaining connectors instead of improving the AI.
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Then their biggest competitor launched a similar system in half the ti
Then their biggest competitor launched a similar system in half the time.
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And that's exactly what we'll explore in this video, how the model con
And that's exactly what we'll explore in this video, how the model context protocol is changing the way AI systems connect to data.
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By the end of this video, you will be able to identify challenges in t
By the end of this video, you will be able to identify challenges in traditional AI integrations, explain how MCP standardizes and secures data connections, and summarize how MCP enables smarter, faster AI solutions.
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AI systems are only as good as the data they can access.
AI systems are only as good as the data they can access.
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Module 1Custom GPTs Fundamentals Module 2THINK: Create Great GPTs (Par
Module 1Custom GPTs Fundamentals Module 2THINK: Create Great GPTs (Part I) Module 3THINK: Create Great GPTs (Part II) Benchmark Design ConsiderationsReading.
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Duration: 20 minutes20 min Build a Custom GPT for Generating Test Case
Duration: 20 minutes20 min Build a Custom GPT for Generating Test CasesVideo.
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Duration: 8 minutes8 min Build Your Own Custom GPT Test Case Generator
Duration: 8 minutes8 min Build Your Own Custom GPT Test Case GeneratorGraded Assignment.
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Duration: 30 minutes30 min The Goal is to Help the Human Solve the Pro
Duration: 30 minutes30 min The Goal is to Help the Human Solve the Problem, Not Provide the AnswerVideo.
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Duration: 1 minute1 min Practical ScenarioReal-world application.
Duration: 1 minute1 min Practical ScenarioReal-world application.
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Duration: 5 minutes5 min Template Pattern & MarkdownReading.
Duration: 5 minutes5 min Template Pattern & MarkdownReading.
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Duration: 10 minutes10 min Format of the Menu Actions PatternReading.
Duration: 10 minutes10 min Format of the Menu Actions PatternReading.
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Duration: 10 minutes10 min Where to Get Additional HelpVideo.
Duration: 10 minutes10 min Where to Get Additional HelpVideo.
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Duration: 2 minutes2 min Building a GPT with a MenuGraded Assignment.
Duration: 2 minutes2 min Building a GPT with a MenuGraded Assignment.
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Duration: 30 minutes30 min Information Before Decision MakingVideo.
Duration: 30 minutes30 min Information Before Decision MakingVideo.
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The testing should include variability in the test cases to mimic the
The testing should include variability in the test cases to mimic the real-world unpredictability of user interactions.
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To achieve this, we classify our test cases into diverse categories su
To achieve this, we classify our test cases into diverse categories such as factual questions, reasoning tasks, creative tasks, and instruction-based challenges.
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Moreover, we consider the user's characteristics like literacy levels
Moreover, we consider the user's characteristics like literacy levels, domain knowledge, and cultural background to ensure that the AI can handle interactions with a wide range of users.
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We also test it with different levels of input complexity from short
We also test it with different levels of input complexity from short, clear inputs to long, ambiguous conversations and shield it against adversarial inputs designed to trip it up.
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This rigorous testing ensures that the GPT can deliver high-quality, r
This rigorous testing ensures that the GPT can deliver high-quality, reliable, and appropriate responses across a wide variety of conversational scenarios.
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1.What if a customer is expressing frustration in a non-direct way?
1.What if a customer is expressing frustration in a non-direct way?
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Testing how the GPT detects passive language indicative of frustration
–Testing how the GPT detects passive language indicative of frustration and responds with empathy and de-escalation techniques.
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2.What if a customer uses technical jargon incorrectly?
2.What if a customer uses technical jargon incorrectly?
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Testing whether the GPT can gently correct the customer and provide th
–Testing whether the GPT can gently correct the customer and provide the correct information without causing confusion or offense.
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3.What if the customer asks for a service or product that doesn’t exis
3.What if the customer asks for a service or product that doesn’t exist?
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R Status: PLUS PLUS OpenAI GPTs: Creating Your Own Custom AI Assistant
R Status: PLUS PLUS OpenAI GPTs: Creating Your Own Custom AI Assistants Today's Skill Points 18 XP See skill progress Module 1 Custom GPTs Fundamentals Module 2 THINK: Create Great GPTs (Part I) Test Test Video .
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Duration: 1 minute 1 min Build a Benchmark Video .
Duration: 1 minute 1 min Build a Benchmark Video .
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Duration: 5 minutes 5 min Benchmark Design Considerations Reading .
Duration: 5 minutes 5 min Benchmark Design Considerations Reading .
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Duration: 20 minutes 20 min Build a Custom GPT for Generating Test Cas
Duration: 20 minutes 20 min Build a Custom GPT for Generating Test Cases Video .
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Duration: 8 minutes 8 min Build Your Own Custom GPT Test Case Generato
Duration: 8 minutes 8 min Build Your Own Custom GPT Test Case Generator Graded Assignment .
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Duration: 30 minutes 30 min Help the User Solve the Problem, Not Provi
Duration: 30 minutes 30 min Help the User Solve the Problem, Not Provide Answers The Goal is to Help the Human Solve the Problem, Not Provide the Answer Video .
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Duration: 1 minute 1 min How to Cite Knowledge Video .
Duration: 1 minute 1 min How to Cite Knowledge Video .
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Duration: 4 minutes 4 min Output Formatting Video .
Duration: 4 minutes 4 min Output Formatting Video .
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Duration: 6 minutes 6 min Practical Scenario Real-world application .
Duration: 6 minutes 6 min Practical Scenario Real-world application .
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Duration: 5 minutes 5 min Template Pattern & Markdown Reading .
Duration: 5 minutes 5 min Template Pattern & Markdown Reading .
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Thinking up great test cases obviously is going to be a challenge.
>> Thinking up great test cases obviously is going to be a challenge.
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You have to really think carefully about all the different dimensions.
You have to really think carefully about all the different dimensions.
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And sometimes as human beings, we don't do the best job of really thin
And sometimes as human beings, we don't do the best job of really thinking through all the different ways that somebody could interact with our system and all the different issues that could arise.
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And I've given you a number of different dimensions to think about whe
And I've given you a number of different dimensions to think about when building test cases.
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Now, how are we going to overcome this problem?
Now, how are we going to overcome this problem?
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Well, one way that I can help you overcome this problem is I can show
Well, one way that I can help you overcome this problem is I can show you how to build your own custom GPT to generate your test cases.
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In fact, this is a great way to get started with building a custom GPT
In fact, this is a great way to get started with building a custom GPT because the risk is extremely low.
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We are trying to have it generate ideas for test cases that we can the
We are trying to have it generate ideas for test cases that we can then use to test other GPTs.
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Now, if it doesn't do a great job, we'll look at it and say, hey, none
Now, if it doesn't do a great job, we'll look at it and say, hey, none of those are useful test cases to me.
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We can go and tweak it and try to improve it, but often what we'll see
We can go and tweak it and try to improve it, but often what we'll see is it can generate really good and sort of thoughtful test cases for our domain.
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Anytime we change the instructions to our GPT or we change the knowled
Anytime we change the instructions to our GPT or we change the knowledge base, it can have unexpected effects.
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One of the important things that we want to do when we start building
One of the important things that we want to do when we start building a custom GPT and really thinking about how do we build the best custom GPT?
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A very important thing to do is to build yourself a simple benchmark.
A very important thing to do is to build yourself a simple benchmark.
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Well, you do this so that as you make changes, you can make sure that
Well, you do this so that as you make changes, you can make sure that it's still reasoning effectively.
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That it's not regressing in some area and starting to give bad answers
That it's not regressing in some area and starting to give bad answers to something that used to do well on.
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But the other reason you want to do it is because you want to make sur
But the other reason you want to do it is because you want to make sure that it really is as good as you think it is.
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Often when we go and sort of ad hoc to this, we may miss areas where w
Often when we go and sort of ad hoc to this, we may miss areas where we will say, well, it should be able to do this, and we don't actually test it.
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Then it turns out it doesn't do a very good job of it.
Then it turns out it doesn't do a very good job of it.
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Building yourself a benchmark is a really simple thing that you can do
Building yourself a benchmark is a really simple thing that you can do to one, make sure it actually performs well in all the areas that you would like it to perform well.
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But two, that as you go and modify it and improve it over time, that y
But two, that as you go and modify it and improve it over time, that you don't have some type of regression.
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Last month, Louise worked with a healthcare company facing a critical
Last month, Louise worked with a healthcare company facing a critical decision.
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Their AI diagnostic system needed to connect with 15 different data so
Their AI diagnostic system needed to connect with 15 different data sources, patient records, lab results, imaging systems, drug databases.
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Their current approach was failing, costs were escalating, and their g
Their current approach was failing, costs were escalating, and their go-to-market timeline was at risk.
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Switching their entire integration strategy to MCP required a systemat
Switching their entire integration strategy to MCP required a systematic evaluation framework.
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The company had to evaluate how many different data sources does the A
The company had to evaluate how many different data sources does the AI system need to connect with.
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If it was more than three, MCP's standardization benefit would become
If it was more than three, MCP's standardization benefit would become compelling.
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If the company was building point-to-point connections, traditional ap
If the company was building point-to-point connections, traditional approaches might suffice.
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But if the company was planning to build an AI ecosystem, MCP would be
But if the company was planning to build an AI ecosystem, MCP would be essential.
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MCP provides built-in security models, but you need to evaluate if the
MCP provides built-in security models, but you need to evaluate if they meet your specific requirements.
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For healthcare, finance, or government applications, MCP's standardize
For healthcare, finance, or government applications, MCP's standardized security approach often exceeds what custom solutions provide.
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BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera

Welke kernles hoort het best bij punt 1?

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Welke kernles hoort het best bij punt 3?

Welke kernles hoort het best bij punt 4?

Agent Behavior Breakdown: Debugging and Testing | Coursera

Welke kernles hoort het best bij punt 1?

Welke kernles hoort het best bij punt 2?

Welke kernles hoort het best bij punt 3?

Welke kernles hoort het best bij punt 4?

BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera

Welke kernles hoort het best bij punt 1?

Welke kernles hoort het best bij punt 2?

Welke kernles hoort het best bij punt 3?

Welke kernles hoort het best bij punt 4?

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BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera

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Concept: BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera

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Summary:

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Focus van deze les:

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Imagine an agent that doesn't just act, but learns from each action to refine its future decisions

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Wat je echt moet begrijpen:

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That's what systems like Baby AGI and AlphaCode demonstrate

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Hoe je dit stap voor stap toepast:

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1. De uitleg opent met Imagine an agent that doesn't just act, but learns fr

Agent Behavior Breakdown: Debugging and Testing | Coursera

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Concept: Agent Behavior Breakdown: Debugging and Testing | Coursera

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When your agent answers the wrong question or repeats a task, it's tempting to fix

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Wat je echt moet begrijpen:

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the output. But to build intelligent systems, you have to debug the behavior, not just the

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Hoe je dit stap voor stap toepast:

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Key points:

BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera

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Concept: BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera

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Focus van deze les:

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Imagine an agent that doesn't just act, but learns from each action to refine its future decisions

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Wat je echt moet begrijpen:

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That's what systems like Baby AGI and AlphaCode demonstrate

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Hoe je dit stap voor stap toepast:

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1. De uitleg opent met Imagine an agent that doesn't just act, but learns fr

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Focus van deze les: Imagine an agent that doesn't just act, but learns from each action to refine its future decisions Wat je echt moet begrijpen: That's what systems like Baby AGI and AlphaCode demonstrate Hoe je dit stap voor stap toepast: 1. De uitleg opent met Imagine an agent that doesn't just act, but learns fr

Key points

Imagine an agent that doesn't just act, but learns from each action to refine its future decisions
Wat je echt moet begrijpen:
That's what systems like Baby AGI and AlphaCode demonstrate
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Imagine an agent that doesn't just act, but learns from each action to refine its future decisions.. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via That's what systems like Baby AGI and AlphaCode demonstrate., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

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Herinnering 1

Concept: BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera

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Summary:

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Focus van deze les:

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Imagine an agent that doesn't just act, but learns from each action to refine its future decisions

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Wat je echt moet begrijpen:

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That's what systems like Baby AGI and AlphaCode demonstrate

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera Summary: Focus van deze les: Imagine an agent that doesn't just act, but learns from each action to refine its future decisions Wat je echt moet begrijpen: That's what systems like Baby AGI and AlphaCode demonstrate Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met Imagine an agent that doesn't just act, but learns fr Key points: - Imagine an agent that doesn't just act, but learns from each action to refine its future decisions - Wat je echt moet begrijpen: - That's what systems like Baby AGI and AlphaCode demonstrate - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

De uitleg opent met Imagine an agent that doesn't just act, but learns from each action to refine its future decisions..
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

Dat zet het vertrekpunt van de redenering neer.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Agent Behavior Breakdown: Debugging and Testing | Coursera

Agent Behavior Breakdown: Debugging and Testing | Coursera · 2026-07-10

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: When your agent answers the wrong question or repeats a task, it's tempting to fix Wat je echt moet begrijpen: the output. But to build intelligent systems, you have to debug the behavior, not just the Hoe je dit stap voor stap toepast: 1.

Key points

When your agent answers the wrong question or repeats a task, it's tempting to fix
Wat je echt moet begrijpen:
the output. But to build intelligent systems, you have to debug the behavior, not just the
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Did it select the right tool or intent?. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via traditional software, AI agents rely on decision loops, memory and tool use, which means bugs, zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Agent Behavior Breakdown: Debugging and Testing | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Agent Behavior Breakdown: Debugging and Testing | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Agent Behavior Breakdown: Debugging and Testing | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

When your agent answers the wrong question or repeats a task, it's tempting to fix

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

the output. But to build intelligent systems, you have to debug the behavior, not just the

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Agent Behavior Breakdown: Debugging and Testing | Coursera Summary: Focus van deze les: When your agent answers the wrong question or repeats a task, it's tempting to fix Wat je echt moet begrijpen: the output.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

But to build intelligent systems, you have to debug the behavior, not just the Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - When your agent answers the wrong question or repeats a task, it's tempting to fix - Wat je echt moet begrijpen: - the output.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

But to build intelligent systems, you have to debug the behavior, not just the - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera

BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera · 2026-07-10

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

Imagine an agent that doesn't just act, but learns from each action to refine its future decisions
Wat je echt moet begrijpen:
That's what systems like Baby AGI and AlphaCode demonstrate
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Imagine an agent that doesn't just act, but learns from each action to refine its future decisions.. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via That's what systems like Baby AGI and AlphaCode demonstrate., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Imagine an agent that doesn't just act, but learns from each action to refine its future decisions

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

That's what systems like Baby AGI and AlphaCode demonstrate

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera Summary: Focus van deze les: Imagine an agent that doesn't just act, but learns from each action to refine its future decisions Wat je echt moet begrijpen: That's what systems like Baby AGI and AlphaCode demonstrate Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met Imagine an agent that doesn't just act, but learns fr Key points: - Imagine an agent that doesn't just act, but learns from each action to refine its future decisions - Wat je echt moet begrijpen: - That's what systems like Baby AGI and AlphaCode demonstrate - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

De uitleg opent met Imagine an agent that doesn't just act, but learns from each action to refine its future decisions..
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

Dat zet het vertrekpunt van de redenering neer.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Zip Files for Automation | Coursera

Zip Files for Automation | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: We can always go and upload individual files and download individual files to Wat je echt moet begrijpen: code interpreter, and we can certainly get by that way Hoe je dit stap voor stap toepast: 1. De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.

Key points

We can always go and upload individual files and download individual files to
Wat je echt moet begrijpen:
code interpreter, and we can certainly get by that way
Hoe je dit stap voor stap toepast:
1. De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via And this is just a fantastic tool for file organization., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Zip Files for Automation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Zip Files for Automation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Zip Files for Automation | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

We can always go and upload individual files and download individual files to

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

code interpreter, and we can certainly get by that way

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Zip Files for Automation | Coursera Summary: Focus van deze les: We can always go and upload individual files and download individual files to Wat je echt moet begrijpen: code interpreter, and we can certainly get by that way Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - We can always go and upload individual files and download individual files to - Wat je echt moet begrijpen: - code interpreter, and we can certainly get by that way - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Working with Media | Coursera

Working with Media | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: Part 1/4] Code Interpreter is really useful for working with media. If you have videos, if you have audio files, if you have collections of images, working with all of them, you...

Key points

Part 1/4] Code Interpreter is really useful for working with media. If you have videos, if you have audio files, if you have collections of images, working with all of them, you...
Wat je echt moet begrijpen:
Part 2/4] I'm giving it a pattern to follow on each individual one. I'm saying resize each, and then I'm giving it to constraints what I want. This is going to be a pattern that...
Hoe je dit stap voor stap toepast:
1. De uitleg opent met [Part 1/4] Code Interpreter is really useful for working with media.. Dat zet het vertrekpunt van de redenering neer.
3. Vervolgens bouwt de les verder via So I'm going to give you an example of this., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Working with Media | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Working with Media | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Working with Media | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Part 1/4] Code Interpreter is really useful for working with media. If you have videos, if you have audio files, if you have collections of images, working with all of them, you...

Herinnering 5

Key points:

Herinnering 6

Part 1/4] Code Interpreter is really useful for working with media. If you have videos, if you have audio files, if you have collections of images, working with all of them, you...

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Working with Media | Coursera Summary: Focus van deze les: Part 1/4] Code Interpreter is really useful for working with media.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

If you have videos, if you have audio files, if you have collections of images, working with all of them, you...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Part 1/4] Code Interpreter is really useful for working with media.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

If you have videos, if you have audio files, if you have collections of images, working with all of them, you...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Working with Structured Data | Coursera

Working with Structured Data | Coursera · 2026-07-09

gpt-5.1 · chunk_digest

4 chunks · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: Wenn Sie hören, dass Code-Interpreter die Art Wat je echt moet begrijpen: und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten Hoe je dit stap voor stap toepast: 1. De uitleg opent met Wenn Sie hören, dass Code-Interpreter die Art.

Key points

Wenn Sie hören, dass Code-Interpreter die Art
Wat je echt moet begrijpen:
und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Wenn Sie hören, dass Code-Interpreter die Art. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten,, zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Working with Structured Data | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Working with Structured Data | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Working with Structured Data | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Wenn Sie hören, dass Code-Interpreter die Art

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Working with Structured Data | Coursera Summary: Focus van deze les: Wenn Sie hören, dass Code-Interpreter die Art Wat je echt moet begrijpen: und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met Wenn Sie hören, dass Code-Interpreter die Art.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Wenn Sie hören, dass Code-Interpreter die Art - Wat je echt moet begrijpen: - und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met Wenn Sie hören, dass Code-Interpreter die Art.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Asking Questions in a Small Document | Coursera

Asking Questions in a Small Document | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: Part 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that... Wat je echt moet begrijpen: Part 2/5] That's going to trigger code interpreter basically going and looking at what's ins

Key points

Part 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that...
Wat je echt moet begrijpen:
Part 2/5] That's going to trigger code interpreter basically going and looking at what's inside the document. It's gone and looked through and inspected the documents. That's fi...
Hoe je dit stap voor stap toepast:
1. De uitleg opent met It's possibly the most fun document that I ever worked with in my life.. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via It's the document that I absolutely dread dealing with., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Asking Questions in a Small Document | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Asking Questions in a Small Document | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Asking Questions in a Small Document | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Part 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that... Wat je echt moet begrijpen:

Herinnering 5

Part 2/5] That's going to trigger code interpreter basically going and looking at what's ins

Herinnering 6

Key points:

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Asking Questions in a Small Document | Coursera Summary: Focus van deze les: Part 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Wat je echt moet begrijpen: Part 2/5] That's going to trigger code interpreter basically going and looking at what's ins Key points: - Part 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

- Wat je echt moet begrijpen: - Part 2/5] That's going to trigger code interpreter basically going and looking at what's inside the document.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

It's gone and looked through and inspected the documents.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

(H) Help Provide a Safety Net | Coursera

(H) Help Provide a Safety Net | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: Code interpreter can help us provide a safety net so Wat je echt moet begrijpen: that we can catch mistakes by humans before they go out and cause a problem Hoe je dit stap voor stap toepast: 1. De uitleg opent met Code interpreter can help us provide a safety net so.

Key points

Code interpreter can help us provide a safety net so
Wat je echt moet begrijpen:
that we can catch mistakes by humans before they go out and cause a problem
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Code interpreter can help us provide a safety net so. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via that we can catch mistakes by humans before they go out and cause a problem., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "(H) Help Provide a Safety Net | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "(H) Help Provide a Safety Net | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: (H) Help Provide a Safety Net | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Code interpreter can help us provide a safety net so

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

that we can catch mistakes by humans before they go out and cause a problem

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: (H) Help Provide a Safety Net | Coursera Summary: Focus van deze les: Code interpreter can help us provide a safety net so Wat je echt moet begrijpen: that we can catch mistakes by humans before they go out and cause a problem Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met Code interpreter can help us provide a safety net so.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Code interpreter can help us provide a safety net so - Wat je echt moet begrijpen: - that we can catch mistakes by humans before they go out and cause a problem - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met Code interpreter can help us provide a safety net so.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Working with Media | Coursera

Working with Media | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

Part 1/4] Code Interpreter is really useful for working with media. If you have videos, if you have audio files, if you have collections of images, working with all of them, you...
Wat je echt moet begrijpen:
Part 2/4] I'm giving it a pattern to follow on each individual one. I'm saying resize each, and then I'm giving it to constraints what I want. This is going to be a pattern that...
Hoe je dit stap voor stap toepast:
1. De uitleg opent met [Part 1/4] Code Interpreter is really useful for working with media.. Dat zet het vertrekpunt van de redenering neer.
3. Vervolgens bouwt de les verder via So I'm going to give you an example of this., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Working with Media | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Working with Media | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Working with Media | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Part 1/4] Code Interpreter is really useful for working with media. If you have videos, if you have audio files, if you have collections of images, working with all of them, you...

Herinnering 5

Key points:

Herinnering 6

Part 1/4] Code Interpreter is really useful for working with media. If you have videos, if you have audio files, if you have collections of images, working with all of them, you...

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Working with Media | Coursera Summary: Focus van deze les: Part 1/4] Code Interpreter is really useful for working with media.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

If you have videos, if you have audio files, if you have collections of images, working with all of them, you...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Part 1/4] Code Interpreter is really useful for working with media.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

If you have videos, if you have audio files, if you have collections of images, working with all of them, you...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Working with Structured Data | Coursera

Working with Structured Data | Coursera · 2026-07-09

gpt-5.1 · chunk_digest

4 chunks · $0.0000

Study quiz Study flashcards Open review queue

Key points

Wenn Sie hören, dass Code-Interpreter die Art
Wat je echt moet begrijpen:
und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Wenn Sie hören, dass Code-Interpreter die Art. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten,, zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Working with Structured Data | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Working with Structured Data | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Working with Structured Data | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Wenn Sie hören, dass Code-Interpreter die Art

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Working with Structured Data | Coursera Summary: Focus van deze les: Wenn Sie hören, dass Code-Interpreter die Art Wat je echt moet begrijpen: und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met Wenn Sie hören, dass Code-Interpreter die Art.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Wenn Sie hören, dass Code-Interpreter die Art - Wat je echt moet begrijpen: - und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met Wenn Sie hören, dass Code-Interpreter die Art.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Asking Questions in a Small Document | Coursera

Asking Questions in a Small Document | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

Part 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that...
Wat je echt moet begrijpen:
Part 2/5] That's going to trigger code interpreter basically going and looking at what's inside the document. It's gone and looked through and inspected the documents. That's fi...
Hoe je dit stap voor stap toepast:
1. De uitleg opent met It's possibly the most fun document that I ever worked with in my life.. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via It's the document that I absolutely dread dealing with., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Asking Questions in a Small Document | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Asking Questions in a Small Document | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Asking Questions in a Small Document | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Herinnering 5

Part 2/5] That's going to trigger code interpreter basically going and looking at what's ins

Herinnering 6

Key points:

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Asking Questions in a Small Document | Coursera Summary: Focus van deze les: Part 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Wat je echt moet begrijpen: Part 2/5] That's going to trigger code interpreter basically going and looking at what's ins Key points: - Part 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

- Wat je echt moet begrijpen: - Part 2/5] That's going to trigger code interpreter basically going and looking at what's inside the document.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

It's gone and looked through and inspected the documents.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Getting Information Into the Conversation | Coursera

Getting Information Into the Conversation | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr...

Key points

Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr...
Wat je echt moet begrijpen:
Part 2/5] ead, it did not go and run Python again. Now, there's two things that that could mean, and it's helpful to know this. One is the information that it needs to do this t...
Hoe je dit stap voor stap toepast:
4. Daarna laat de les zien hoe Now, what does it mean for it to be easy to access? het resultaat of de toepassing afrondt.
Waar je op moet letten in de bron:

Self-check prompts

1) Welk probleem helpt "Getting Information Into the Conversation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Getting Information Into the Conversation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Getting Information Into the Conversation | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr...

Herinnering 5

Key points:

Herinnering 6

Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr...

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Getting Information Into the Conversation | Coursera Summary: Focus van deze les: Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Or to wr...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

Or to wr...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Zip Files for Automation | Coursera

Zip Files for Automation | Coursera · 2026-07-09

gpt-5.1 · chunk_digest

4 chunks · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: This next capability I'm going to talk about Wat je echt moet begrijpen: is really one that you can only Hoe je dit stap voor stap toepast: 1. De uitleg opent met Add places where all these paths.

Key points

This next capability I'm going to talk about
Wat je echt moet begrijpen:
is really one that you can only
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Add places where all these paths. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via the paths to the documents as command line argument,, zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Zip Files for Automation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Zip Files for Automation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Zip Files for Automation | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

This next capability I'm going to talk about

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

is really one that you can only

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Zip Files for Automation | Coursera Summary: Focus van deze les: This next capability I'm going to talk about Wat je echt moet begrijpen: is really one that you can only Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met Add places where all these paths.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - This next capability I'm going to talk about - Wat je echt moet begrijpen: - is really one that you can only - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met Add places where all these paths.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Zip Files for Automation | Coursera

Zip Files for Automation | Coursera · 2026-07-09

gpt-5.1 · chunk_digest

4 chunks · $0.0000

Study quiz Study flashcards Open review queue

Key points

This next capability I'm going to talk about
Wat je echt moet begrijpen:
is really one that you can only
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Add places where all these paths. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via the paths to the documents as command line argument,, zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Zip Files for Automation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Zip Files for Automation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Zip Files for Automation | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

This next capability I'm going to talk about

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

is really one that you can only

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Zip Files for Automation | Coursera Summary: Focus van deze les: This next capability I'm going to talk about Wat je echt moet begrijpen: is really one that you can only Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met Add places where all these paths.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - This next capability I'm going to talk about - Wat je echt moet begrijpen: - is really one that you can only - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met Add places where all these paths.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Turning Conversations into Software Utilities | Coursera

Turning Conversations into Software Utilities | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: I want to help you gauge the difficulty of Wat je echt moet begrijpen: a task that you're about to start with Code Interpreter Hoe je dit stap voor stap toepast: 1. De uitleg opent met I want to help you gauge the difficulty of.

Key points

I want to help you gauge the difficulty of
Wat je echt moet begrijpen:
a task that you're about to start with Code Interpreter
Hoe je dit stap voor stap toepast:
1. De uitleg opent met I want to help you gauge the difficulty of. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via a task that you're about to start with Code Interpreter., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Turning Conversations into Software Utilities | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

I want to help you gauge the difficulty of

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

a task that you're about to start with Code Interpreter

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Turning Conversations into Software Utilities | Coursera Summary: Focus van deze les: I want to help you gauge the difficulty of Wat je echt moet begrijpen: a task that you're about to start with Code Interpreter Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - I want to help you gauge the difficulty of - Wat je echt moet begrijpen: - a task that you're about to start with Code Interpreter - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Zip Files for Automation | Coursera

Zip Files for Automation | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

We can always go and upload individual files and download individual files to
Wat je echt moet begrijpen:
code interpreter, and we can certainly get by that way
Hoe je dit stap voor stap toepast:
1. De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via And this is just a fantastic tool for file organization., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Zip Files for Automation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Zip Files for Automation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Zip Files for Automation | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

We can always go and upload individual files and download individual files to

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

code interpreter, and we can certainly get by that way

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Zip Files for Automation | Coursera Summary: Focus van deze les: We can always go and upload individual files and download individual files to Wat je echt moet begrijpen: code interpreter, and we can certainly get by that way Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - We can always go and upload individual files and download individual files to - Wat je echt moet begrijpen: - code interpreter, and we can certainly get by that way - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Zip Files for Automation | Coursera

Zip Files for Automation | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

We can always go and upload individual files and download individual files to
Wat je echt moet begrijpen:
code interpreter, and we can certainly get by that way
Hoe je dit stap voor stap toepast:
1. De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via And this is just a fantastic tool for file organization., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Zip Files for Automation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Zip Files for Automation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Zip Files for Automation | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

We can always go and upload individual files and download individual files to

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

code interpreter, and we can certainly get by that way

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Zip Files for Automation | Coursera Summary: Focus van deze les: We can always go and upload individual files and download individual files to Wat je echt moet begrijpen: code interpreter, and we can certainly get by that way Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - We can always go and upload individual files and download individual files to - Wat je echt moet begrijpen: - code interpreter, and we can certainly get by that way - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Working with Small Documents | Coursera

Working with Small Documents | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

I want to help you gauge the difficulty of
Wat je echt moet begrijpen:
a task that you're about to start with Code Interpreter
Hoe je dit stap voor stap toepast:
1. De uitleg opent met I want to help you gauge the difficulty of. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via a task that you're about to start with Code Interpreter., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Working with Small Documents | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Working with Small Documents | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Working with Small Documents | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

I want to help you gauge the difficulty of

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

a task that you're about to start with Code Interpreter

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Working with Small Documents | Coursera Summary: Focus van deze les: I want to help you gauge the difficulty of Wat je echt moet begrijpen: a task that you're about to start with Code Interpreter Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - I want to help you gauge the difficulty of - Wat je echt moet begrijpen: - a task that you're about to start with Code Interpreter - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Turning Conversations into Software Utilities | Coursera

Turning Conversations into Software Utilities | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp... Wat je echt moet begrijpen: Part 2/4] cases that you can then run completely separately from Code Interpreter and you c

Key points

Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Wat je echt moet begrijpen:
Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present...
Hoe je dit stap voor stap toepast:
4. Daarna laat de les zien hoe If you're an organization that has a bunch of programmers or you have a friend that it's a programmer, this is a way that you could do that. het resultaat of de toepassing afrondt.
Waar je op moet letten in de bron:

Self-check prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Turning Conversations into Software Utilities | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp... Wat je echt moet begrijpen:

Herinnering 5

Part 2/4] cases that you can then run completely separately from Code Interpreter and you c

Herinnering 6

Key points:

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Turning Conversations into Software Utilities | Coursera Summary: Focus van deze les: Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Wat je echt moet begrijpen: Part 2/4] cases that you can then run completely separately from Code Interpreter and you c Key points: - Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

- Wat je echt moet begrijpen: - Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

- Hoe je dit stap voor stap toepast: - 4.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Turning Conversations into Software Utilities | Coursera

Turning Conversations into Software Utilities | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Wat je echt moet begrijpen:
Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present...
Hoe je dit stap voor stap toepast:
4. Daarna laat de les zien hoe If you're an organization that has a bunch of programmers or you have a friend that it's a programmer, this is a way that you could do that. het resultaat of de toepassing afrondt.
Waar je op moet letten in de bron:

Self-check prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Turning Conversations into Software Utilities | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Herinnering 5

Part 2/4] cases that you can then run completely separately from Code Interpreter and you c

Herinnering 6

Key points:

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Turning Conversations into Software Utilities | Coursera Summary: Focus van deze les: Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Wat je echt moet begrijpen: Part 2/4] cases that you can then run completely separately from Code Interpreter and you c Key points: - Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

- Wat je echt moet begrijpen: - Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

- Hoe je dit stap voor stap toepast: - 4.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Working with Small Documents | Coursera

Working with Small Documents | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr...
Wat je echt moet begrijpen:
Part 2/5] ead, it did not go and run Python again. Now, there's two things that that could mean, and it's helpful to know this. One is the information that it needs to do this t...
Hoe je dit stap voor stap toepast:
4. Daarna laat de les zien hoe Now, what does it mean for it to be easy to access? het resultaat of de toepassing afrondt.
Waar je op moet letten in de bron:

Self-check prompts

1) Welk probleem helpt "Working with Small Documents | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Working with Small Documents | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Working with Small Documents | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr...

Herinnering 5

Key points:

Herinnering 6

Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr...

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Working with Small Documents | Coursera Summary: Focus van deze les: Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Or to wr...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

Or to wr...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Working with Small Documents

Working with Small Documents · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

I want to help you gauge the difficulty of
Wat je echt moet begrijpen:
a task that you're about to start with Code Interpreter
Hoe je dit stap voor stap toepast:
1. De uitleg opent met I want to help you gauge the difficulty of. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via a task that you're about to start with Code Interpreter., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Working with Small Documents" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Working with Small Documents" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Working with Small Documents

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

I want to help you gauge the difficulty of

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

a task that you're about to start with Code Interpreter

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Working with Small Documents Summary: Focus van deze les: I want to help you gauge the difficulty of Wat je echt moet begrijpen: a task that you're about to start with Code Interpreter Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - I want to help you gauge the difficulty of - Wat je echt moet begrijpen: - a task that you're about to start with Code Interpreter - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Turning Conversations into Software Utilities | Coursera

Turning Conversations into Software Utilities | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Wat je echt moet begrijpen:
Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present...
Hoe je dit stap voor stap toepast:
4. Daarna laat de les zien hoe If you're an organization that has a bunch of programmers or you have a friend that it's a programmer, this is a way that you could do that. het resultaat of de toepassing afrondt.
Waar je op moet letten in de bron:

Self-check prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Turning Conversations into Software Utilities | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Herinnering 5

Part 2/4] cases that you can then run completely separately from Code Interpreter and you c

Herinnering 6

Key points:

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Turning Conversations into Software Utilities | Coursera Summary: Focus van deze les: Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Wat je echt moet begrijpen: Part 2/4] cases that you can then run completely separately from Code Interpreter and you c Key points: - Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

- Wat je echt moet begrijpen: - Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

- Hoe je dit stap voor stap toepast: - 4.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Working with Small Documents | Coursera

Working with Small Documents | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

I want to help you gauge the difficulty of
Wat je echt moet begrijpen:
a task that you're about to start with Code Interpreter
Hoe je dit stap voor stap toepast:
1. De uitleg opent met I want to help you gauge the difficulty of. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via a task that you're about to start with Code Interpreter., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Working with Small Documents | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Working with Small Documents | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Working with Small Documents | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

I want to help you gauge the difficulty of

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

a task that you're about to start with Code Interpreter

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Working with Small Documents | Coursera Summary: Focus van deze les: I want to help you gauge the difficulty of Wat je echt moet begrijpen: a task that you're about to start with Code Interpreter Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - I want to help you gauge the difficulty of - Wat je echt moet begrijpen: - a task that you're about to start with Code Interpreter - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Working with Small Documents | Coursera

Working with Small Documents | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

I want to help you gauge the difficulty of
Wat je echt moet begrijpen:
a task that you're about to start with Code Interpreter
Hoe je dit stap voor stap toepast:
1. De uitleg opent met I want to help you gauge the difficulty of. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via a task that you're about to start with Code Interpreter., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Working with Small Documents | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Working with Small Documents | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Working with Small Documents | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

I want to help you gauge the difficulty of

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

a task that you're about to start with Code Interpreter

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Working with Small Documents | Coursera Summary: Focus van deze les: I want to help you gauge the difficulty of Wat je echt moet begrijpen: a task that you're about to start with Code Interpreter Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - I want to help you gauge the difficulty of - Wat je echt moet begrijpen: - a task that you're about to start with Code Interpreter - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Turning Conversations into Software Utilities | Coursera

Turning Conversations into Software Utilities | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Wat je echt moet begrijpen:
Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present...
Hoe je dit stap voor stap toepast:
4. Daarna laat de les zien hoe If you're an organization that has a bunch of programmers or you have a friend that it's a programmer, this is a way that you could do that. het resultaat of de toepassing afrondt.
Waar je op moet letten in de bron:

Self-check prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Turning Conversations into Software Utilities | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Herinnering 5

Part 2/4] cases that you can then run completely separately from Code Interpreter and you c

Herinnering 6

Key points:

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Turning Conversations into Software Utilities | Coursera Summary: Focus van deze les: Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Wat je echt moet begrijpen: Part 2/4] cases that you can then run completely separately from Code Interpreter and you c Key points: - Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

- Wat je echt moet begrijpen: - Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

- Hoe je dit stap voor stap toepast: - 4.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Getting Information Into the Conversation | Coursera

Getting Information Into the Conversation | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr...
Wat je echt moet begrijpen:
Part 2/5] ead, it did not go and run Python again. Now, there's two things that that could mean, and it's helpful to know this. One is the information that it needs to do this t...
Hoe je dit stap voor stap toepast:
4. Daarna laat de les zien hoe Now, what does it mean for it to be easy to access? het resultaat of de toepassing afrondt.
Waar je op moet letten in de bron:

Self-check prompts

1) Welk probleem helpt "Getting Information Into the Conversation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Getting Information Into the Conversation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Getting Information Into the Conversation | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr...

Herinnering 5

Key points:

Herinnering 6

Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr...

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Getting Information Into the Conversation | Coursera Summary: Focus van deze les: Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Or to wr...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

Or to wr...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Working with Small Documents | Coursera

Working with Small Documents | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

I want to help you gauge the difficulty of
Wat je echt moet begrijpen:
a task that you're about to start with Code Interpreter
Hoe je dit stap voor stap toepast:
1. De uitleg opent met I want to help you gauge the difficulty of. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via a task that you're about to start with Code Interpreter., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Working with Small Documents | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Working with Small Documents | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Working with Small Documents | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

I want to help you gauge the difficulty of

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

a task that you're about to start with Code Interpreter

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Working with Small Documents | Coursera Summary: Focus van deze les: I want to help you gauge the difficulty of Wat je echt moet begrijpen: a task that you're about to start with Code Interpreter Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - I want to help you gauge the difficulty of - Wat je echt moet begrijpen: - a task that you're about to start with Code Interpreter - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Working with Small Documents | Coursera

Working with Small Documents | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

I want to help you gauge the difficulty of
Wat je echt moet begrijpen:
a task that you're about to start with Code Interpreter
Hoe je dit stap voor stap toepast:
1. De uitleg opent met I want to help you gauge the difficulty of. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via a task that you're about to start with Code Interpreter., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Working with Small Documents | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Working with Small Documents | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Working with Small Documents | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

I want to help you gauge the difficulty of

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

a task that you're about to start with Code Interpreter

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Working with Small Documents | Coursera Summary: Focus van deze les: I want to help you gauge the difficulty of Wat je echt moet begrijpen: a task that you're about to start with Code Interpreter Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - I want to help you gauge the difficulty of - Wat je echt moet begrijpen: - a task that you're about to start with Code Interpreter - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met I want to help you gauge the difficulty of.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Turning Conversations into Software Utilities | Coursera

Turning Conversations into Software Utilities | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Wat je echt moet begrijpen:
Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present...
Hoe je dit stap voor stap toepast:
4. Daarna laat de les zien hoe If you're an organization that has a bunch of programmers or you have a friend that it's a programmer, this is a way that you could do that. het resultaat of de toepassing afrondt.
Waar je op moet letten in de bron:

Self-check prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Turning Conversations into Software Utilities | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Herinnering 5

Part 2/4] cases that you can then run completely separately from Code Interpreter and you c

Herinnering 6

Key points:

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Turning Conversations into Software Utilities | Coursera Summary: Focus van deze les: Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Wat je echt moet begrijpen: Part 2/4] cases that you can then run completely separately from Code Interpreter and you c Key points: - Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

- Wat je echt moet begrijpen: - Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

- Hoe je dit stap voor stap toepast: - 4.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Turning Conversations into Software Utilities | Coursera

Turning Conversations into Software Utilities | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Wat je echt moet begrijpen:
Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present...
Hoe je dit stap voor stap toepast:
4. Daarna laat de les zien hoe If you're an organization that has a bunch of programmers or you have a friend that it's a programmer, this is a way that you could do that. het resultaat of de toepassing afrondt.
Waar je op moet letten in de bron:

Self-check prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Turning Conversations into Software Utilities | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Turning Conversations into Software Utilities | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Herinnering 5

Part 2/4] cases that you can then run completely separately from Code Interpreter and you c

Herinnering 6

Key points:

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Turning Conversations into Software Utilities | Coursera Summary: Focus van deze les: Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Wat je echt moet begrijpen: Part 2/4] cases that you can then run completely separately from Code Interpreter and you c Key points: - Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

- Wat je echt moet begrijpen: - Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

- Hoe je dit stap voor stap toepast: - 4.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Zip Files for Automation | Coursera

Zip Files for Automation | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

We can always go and upload individual files and download individual files to
Wat je echt moet begrijpen:
code interpreter, and we can certainly get by that way
Hoe je dit stap voor stap toepast:
1. De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via And this is just a fantastic tool for file organization., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Zip Files for Automation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Zip Files for Automation | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Zip Files for Automation | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

We can always go and upload individual files and download individual files to

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

code interpreter, and we can certainly get by that way

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Zip Files for Automation | Coursera Summary: Focus van deze les: We can always go and upload individual files and download individual files to Wat je echt moet begrijpen: code interpreter, and we can certainly get by that way Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - We can always go and upload individual files and download individual files to - Wat je echt moet begrijpen: - code interpreter, and we can certainly get by that way - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Reactive vs. Deliberative Agents in the Real World | Coursera

Reactive vs. Deliberative Agents in the Real World | Coursera · 2026-07-09

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: Picture this. You walk into a room and the light turns on automatically.

Key points

Picture this. You walk into a room and the light turns on automatically. Now picture
Wat je echt moet begrijpen:
asking your smart assistant to plan a movie night. Both systems are reacting, but very
Hoe je dit stap voor stap toepast:
1. De uitleg opent met It's about choosing the right tool for the right task.. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via select the right agent behavior model for specific use cases., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Reactive vs. Deliberative Agents in the Real World | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Reactive vs. Deliberative Agents in the Real World | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Reactive vs. Deliberative Agents in the Real World | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Picture this. You walk into a room and the light turns on automatically.

Herinnering 5

Key points:

Herinnering 6

Picture this. You walk into a room and the light turns on automatically. Now picture

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Reactive vs.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Deliberative Agents in the Real World | Coursera Summary: Focus van deze les: Picture this.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

You walk into a room and the light turns on automatically.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

Key points: - Picture this.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

How AI Agents Perceive the World Around Them | Coursera

How AI Agents Perceive the World Around Them | Coursera · 2026-07-09

gpt-5.1 · direct

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Focus van deze les: Have you ever wondered how a self-driving car knows when to slow down or how a voice Wat je echt moet begrijpen: assistant knows when you're asking a question versus just thinking out loud? Hoe je dit stap voor stap toepast: 1.

Key points

Have you ever wondered how a self-driving car knows when to slow down or how a voice
Wat je echt moet begrijpen:
assistant knows when you're asking a question versus just thinking out loud?
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Have you ever wondered how a self-driving car knows when to slow down or how a voice. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via assistant knows when you're asking a question versus just thinking out loud?, zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

assistant knows when you're asking a question versus just thinking out loud?
1) Welk probleem helpt "How AI Agents Perceive the World Around Them | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

assistant knows when you're asking a question versus just thinking out loud?
1) Welk probleem helpt "How AI Agents Perceive the World Around Them | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: How AI Agents Perceive the World Around Them | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Have you ever wondered how a self-driving car knows when to slow down or how a voice

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

assistant knows when you're asking a question versus just thinking out loud? Hoe je dit stap voor stap toepast:

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: How AI Agents Perceive the World Around Them | Coursera Summary: Focus van deze les: Have you ever wondered how a self-driving car knows when to slow down or how a voice Wat je echt moet begrijpen: assistant knows when you're asking a question versus just thinking out loud?
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Have you ever wondered how a self-driving car knows when to slow down or how a voice - Wat je echt moet begrijpen: - assistant knows when you're asking a question versus just thinking out loud?
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

- Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Threats and Breaches | Coursera

Threats and Breaches | Coursera · 2026-06-27

gpt-5.1 · direct

1 chunk · $0.0000

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Focus van deze les: Willkommen bei „Bedrohungen und Sicherheitslücken“. Nachdem Sie sich dieses Video angesehen haben, können Sie die verschiedenen Arten von Sicherheitsbedrohungen identifizieren,...

Key points

Willkommen bei „Bedrohungen und Sicherheitslücken“. Nachdem Sie sich dieses Video angesehen haben, können Sie die verschiedenen Arten von Sicherheitsbedrohungen identifizieren,...
Wat je echt moet begrijpen:
Willkommen bei „Bedrohungen und Sicherheitslücken“
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Willkommen bei „Bedrohungen und Sicherheitslücken“.. Dat zet het vertrekpunt van de redenering neer.
4. Daarna laat de les zien hoe Es ist viel einfacher, Daten direkt von einem Laptop oder Server zu stehlen, als sich remote in ein komplexes Netzwerk zu hacken. het resultaat of de toepassing afrondt.

Self-check prompts

1) Welk probleem helpt "Threats and Breaches | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Threats and Breaches | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Threats and Breaches | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Willkommen bei „Bedrohungen und Sicherheitslücken“. Nachdem Sie sich dieses Video angesehen haben, können Sie die verschiedenen Arten von Sicherheitsbedrohungen identifizieren,...

Herinnering 5

Key points:

Herinnering 6

Willkommen bei „Bedrohungen und Sicherheitslücken“. Nachdem Sie sich dieses Video angesehen haben, können Sie die verschiedenen Arten von Sicherheitsbedrohungen identifizieren,...

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Threats and Breaches | Coursera Summary: Focus van deze les: Willkommen bei „Bedrohungen und Sicherheitslücken“.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Nachdem Sie sich dieses Video angesehen haben, können Sie die verschiedenen Arten von Sicherheitsbedrohungen identifizieren,...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Willkommen bei „Bedrohungen und Sicherheitslücken“.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

Nachdem Sie sich dieses Video angesehen haben, können Sie die verschiedenen Arten von Sicherheitsbedrohungen identifizieren,...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Security and Information Privacy  | Coursera

Security and Information Privacy | Coursera · 2026-06-27

gpt-5.1 · chunk_digest

3 chunks · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: Willkommen bei „Sicherheit und Datenschutz“. Nachdem Sie sich dieses Video angesehen haben, werden Sie in der Lage sein, geistiges Eigentum zu definieren, zu erklären, wie Daten...

Key points

Willkommen bei „Sicherheit und Datenschutz“. Nachdem Sie sich dieses Video angesehen haben, werden Sie in der Lage sein, geistiges Eigentum zu definieren, zu erklären, wie Daten...
Wat je echt moet begrijpen:
Willkommen bei „Sicherheit und Datenschutz“
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Willkommen bei „Sicherheit und Datenschutz“.. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via Ein Informationsgut sind Informationen oder Daten, die von Wert sind., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Security and Information Privacy  | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Review prompts

1) Welk probleem helpt "Security and Information Privacy  | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?
4) Hoe leg je dit in Ã©Ã©n minuut aan iemand anders uit?

Flashcards (10)

Herinnering 1

Concept: Security and Information Privacy  | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Willkommen bei „Sicherheit und Datenschutz“. Nachdem Sie sich dieses Video angesehen haben, werden Sie in der Lage sein, geistiges Eigentum zu definieren, zu erklären, wie Daten...

Herinnering 5

Key points:

Herinnering 6

Willkommen bei „Sicherheit und Datenschutz“. Nachdem Sie sich dieses Video angesehen haben, werden Sie in der Lage sein, geistiges Eigentum zu definieren, zu erklären, wie Daten...

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Security and Information Privacy  | Coursera Summary: Focus van deze les: Willkommen bei „Sicherheit und Datenschutz“.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Nachdem Sie sich dieses Video angesehen haben, werden Sie in der Lage sein, geistiges Eigentum zu definieren, zu erklären, wie Daten...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Willkommen bei „Sicherheit und Datenschutz“.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

Nachdem Sie sich dieses Video angesehen haben, werden Sie in der Lage sein, geistiges Eigentum zu definieren, zu erklären, wie Daten...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Introduction to Cybersecurity Essentials - Home - Week week | Coursera

Introduction to Cybersecurity Essentials - Home - Week week | Coursera · 2026-06-27

gpt-5.1 · direct

1 chunk · $0.0000

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Focus van deze les: Manage Consent PreferencesEssential CookiesAlways ActiveThese cookies are necessary for the basic operation of the Site, including to authenticate users, prevent fraudulent use... Wat je echt moet begrijpen: These cookies are automatically enabled and cannot be turned off because they are required f

Key points

Manage Consent PreferencesEssential CookiesAlways ActiveThese cookies are necessary for the basic operation of the Site, including to authenticate users, prevent fraudulent use...
Wat je echt moet begrijpen:
These cookies are automatically enabled and cannot be turned off because they are required for the Site to function properly.Analytics CookiesAlways ActiveThese cookies allow us...
Hoe je dit stap voor stap toepast:
Waar je op moet letten in de bron:
Onthoud vooral: They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites

Self-check prompts

1) Welk probleem helpt "Introduction to Cybersecurity Essentials - Home - Week week | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Security and Information Privacy  | Coursera

Security and Information Privacy | Coursera · 2026-06-18

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: Information is a summary of the raw data. For example, positive or negative results that happen after some specific change.

Key points

Information is a summary of the raw data. For example, positive or negative results that happen after some specific change. And, insights are conclusions based on the results...
Wat je echt moet begrijpen:
Industrial designs, trade secrets, and research discoveries are all examples of IP. Even some employee knowledge is considered intellectual property. Companies use a legally...
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Information is a summary of the raw data.. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via For example, positive or negative results that happen after some specific change., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Security and Information Privacy  | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Security and Information Privacy  | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Security and Information Privacy  | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Information is a summary of the raw data. For example, positive or negative results that happen after some specific change.

Herinnering 5

Key points:

Herinnering 6

Information is a summary of the raw data. For example, positive or negative results that happen after some specific change. And, insights are conclusions based on the results...

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Security and Information Privacy  | Coursera Summary: Focus van deze les: Information is a summary of the raw data.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

For example, positive or negative results that happen after some specific change.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Information is a summary of the raw data.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

For example, positive or negative results that happen after some specific change.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Security and Information Privacy  | Coursera

Security and Information Privacy | Coursera · 2026-06-18

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: Information is a summary of the raw data. For example, positive or negative results that happen after some specific change.

Key points

Information is a summary of the raw data. For example, positive or negative results that happen after some specific change. And, insights are conclusions based on the results...
Wat je echt moet begrijpen:
Industrial designs, trade secrets, and research discoveries are all examples of IP. Even some employee knowledge is considered intellectual property. Companies use a legally...
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Information is a summary of the raw data.. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via For example, positive or negative results that happen after some specific change., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Security and Information Privacy  | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Security and Information Privacy  | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Security and Information Privacy  | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Information is a summary of the raw data. For example, positive or negative results that happen after some specific change.

Herinnering 5

Key points:

Herinnering 6

Information is a summary of the raw data. For example, positive or negative results that happen after some specific change. And, insights are conclusions based on the results...

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Security and Information Privacy  | Coursera Summary: Focus van deze les: Information is a summary of the raw data.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

For example, positive or negative results that happen after some specific change.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Information is a summary of the raw data.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

For example, positive or negative results that happen after some specific change.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Introduction to Cybersecurity Essentials - Home - Week week | Coursera

Introduction to Cybersecurity Essentials - Home - Week week | Coursera · 2026-06-18

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

Manage Consent PreferencesEssential CookiesAlways ActiveThese cookies are necessary for the basic operation of the Site, including to authenticate users, prevent fraudulent use...
Wat je echt moet begrijpen:
These cookies are automatically enabled and cannot be turned off because they are required for the Site to function properly.Analytics CookiesAlways ActiveThese cookies allow us...
Hoe je dit stap voor stap toepast:
Waar je op moet letten in de bron:
Onthoud vooral: They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites

Self-check prompts

1) Welk probleem helpt "Introduction to Cybersecurity Essentials - Home - Week week | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Course Introduction | Coursera

Course Introduction | Coursera · 2026-06-18

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: And graded assessments prove what you’ve learned, leading to a shareable badge and certificate that you can show prospective employers. We’re here to support your success, and...

Key points

And graded assessments prove what you’ve learned, leading to a shareable badge and certificate that you can show prospective employers. We’re here to support your success, and...
Wat je echt moet begrijpen:
And graded assessments prove what you’ve learned, leading to a shareable badge and certificate that you can show prospective employers
Hoe je dit stap voor stap toepast:
1. De uitleg opent met And graded assessments prove what you’ve learned, leading to a shareable badge and certificate that you can show prospective employers.. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via We’re here to support your success, and we’re excited that you’re here., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Course Introduction | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Course Introduction | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Course Introduction | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

And graded assessments prove what you’ve learned, leading to a shareable badge and certificate that you can show prospective employers. We’re here to support your success, and...

Herinnering 5

Key points:

Herinnering 6

And graded assessments prove what you’ve learned, leading to a shareable badge and certificate that you can show prospective employers. We’re here to support your success, and...

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Course Introduction | Coursera Summary: Focus van deze les: And graded assessments prove what you’ve learned, leading to a shareable badge and certificate that you can show prospective employers.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

We’re here to support your success, and...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - And graded assessments prove what you’ve learned, leading to a shareable badge and certificate that you can show prospective employers.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

We’re here to support your success, and...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Introduction to Cybersecurity Essentials - Home - Week week | Coursera

Introduction to Cybersecurity Essentials - Home - Week week | Coursera · 2026-06-18

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Key points

Manage Consent PreferencesEssential CookiesAlways ActiveThese cookies are necessary for the basic operation of the Site, including to authenticate users, prevent fraudulent use...
Wat je echt moet begrijpen:
These cookies are automatically enabled and cannot be turned off because they are required for the Site to function properly.Analytics CookiesAlways ActiveThese cookies allow us...
Hoe je dit stap voor stap toepast:
Waar je op moet letten in de bron:
Onthoud vooral: They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites

Self-check prompts

1) Welk probleem helpt "Introduction to Cybersecurity Essentials - Home - Week week | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Introduction to Cybersecurity Essentials - Home - Week week | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Introduction to Cybersecurity Essentials - Home - Week week | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Manage Consent PreferencesEssential CookiesAlways ActiveThese cookies are necessary for the basic operation of the Site, including to authenticate users, prevent fraudulent use... Wat je echt moet begrijpen:

Herinnering 5

These cookies are automatically enabled and cannot be turned off because they are required f

Herinnering 6

Key points:

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Introduction to Cybersecurity Essentials - Home - Week week | Coursera Summary: Focus van deze les: Manage Consent PreferencesEssential CookiesAlways ActiveThese cookies are necessary for the basic operation of the Site, including to authenticate users, prevent fraudulent use...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Wat je echt moet begrijpen: These cookies are automatically enabled and cannot be turned off because they are required f Key points: - Manage Consent PreferencesEssential CookiesAlways ActiveThese cookies are necessary for the basic operation of the Site, including to authenticate users, prevent fraudulent use...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

- Wat je echt moet begrijpen: - These cookies are automatically enabled and cannot be turned off because they are required for the Site to function properly.Analytics CookiesAlways ActiveThese cookies allow us...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

- Hoe je dit stap voor stap toepast: - Waar je op moet letten in de bron: - Onthoud vooral: They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites Explanation: Focus van deze les: Manage Consent PreferencesEssential CookiesAlways ActiveThese cookies are necessary for the basic operation of the Site, including to authenticate users, prevent fraudulent use...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Introduction to LangChain | Coursera

Introduction to LangChain | Coursera · 2026-06-18

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: Benefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases. Several practical applications include deciphering complex...

Key points

Benefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases. Several practical applications include deciphering complex...
Wat je echt moet begrijpen:
Benefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases
Hoe je dit stap voor stap toepast:
1. De uitleg opent met Benefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases.. Dat zet het vertrekpunt van de redenering neer.
3. Vervolgens bouwt de les verder via LangChain can be used with other data types by using external libraries and models., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Introduction to LangChain | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Introduction to LangChain | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Introduction to LangChain | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

Benefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases. Several practical applications include deciphering complex...

Herinnering 5

Key points:

Herinnering 6

Benefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases. Several practical applications include deciphering complex...

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Introduction to LangChain | Coursera Summary: Focus van deze les: Benefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

Several practical applications include deciphering complex...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

Key points: - Benefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

Several practical applications include deciphering complex...
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Introduction to In-Context Learning | Coursera

Introduction to In-Context Learning | Coursera · 2026-06-18

gpt-5.1 · direct

1 chunk · $0.0000

Study quiz Study flashcards Open review queue

Focus van deze les: 1.25 Introduction to In-Context Learning Warning: 3 XP Wat je echt moet begrijpen: Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files Hoe je dit stap voor stap toepast: 1. De uitleg opent met 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Gen

Key points

1.25 Introduction to In-Context Learning Warning: 3 XP
Wat je echt moet begrijpen:
Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files
Hoe je dit stap voor stap toepast:
1. De uitleg opent met 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files. Dat zet het vertrekpunt van de redenering neer.
2. Vervolgens bouwt de les verder via 1.25 Introduction to In-Context Learning Warning: 3 XP, zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.

Self-check prompts

1) Welk probleem helpt "Introduction to In-Context Learning | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Review prompts

1) Welk probleem helpt "Introduction to In-Context Learning | Coursera" oplossen?
2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?
3) Welke fout maak je hier het snelst?

Flashcards (10)

Herinnering 1

Concept: Introduction to In-Context Learning | Coursera

Herinnering 2

Summary:

Herinnering 3

Focus van deze les:

Herinnering 4

1.25 Introduction to In-Context Learning Warning: 3 XP

Herinnering 5

Wat je echt moet begrijpen:

Herinnering 6

Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files

Quiz later (4)

Welke kernles hoort het best bij punt 1?

Concept: Introduction to In-Context Learning | Coursera Summary: Focus van deze les: 1.25 Introduction to In-Context Learning Warning: 3 XP Wat je echt moet begrijpen: Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files Hoe je dit stap voor stap toepast: 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 2?

De uitleg opent met 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Gen Key points: - 1.25 Introduction to In-Context Learning Warning: 3 XP - Wat je echt moet begrijpen: - Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files - Hoe je dit stap voor stap toepast: - 1.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 3?

De uitleg opent met 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Welke kernles hoort het best bij punt 4?

Dat zet het vertrekpunt van de redenering neer.
Een detail dat minder belangrijk is dan het hoofdidee.
Een oppervlakkige formulering die niet uitlegt waarom het werkt.
Een keuze die het concept verwart met iets anders.

Admin Cost View

Explanation cost is estimated locally from model + token usage stored with each explanation artifact.

Total explanation cost: $0.0000 · Prompt tokens: 0 · Output tokens: 0

Artifacts

View all artifacts (263)

flashcards — 2026-08-03

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    {
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quiz — 2026-08-03

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  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
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        "Een keuze die het concept verwart met iets anders."
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        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
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    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
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cheat_sheet — 2026-08-03

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-08-03

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-28

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-28

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
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cheat_sheet — 2026-07-28

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-28

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-21

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-21

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
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        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-21

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-21

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-21

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-21

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
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        "After watching this video, you'll be able to describe in-context learning.",
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        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
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        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
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cheat_sheet — 2026-07-21

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  ]
}

summary — 2026-07-21

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-21

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-21

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
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      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
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cheat_sheet — 2026-07-21

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-21

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-21

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-21

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-21

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-21

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-21

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-21

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-21

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-21

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-21

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-21

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-21

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-21

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-21

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-21

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-21

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-21

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-21

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-21

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-21

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-21

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-20

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-20

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-20

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-20

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-20

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-20

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-20

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-20

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-20

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-20

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-20

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-20

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-20

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-20

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-20

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-20

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-15

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-15

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-15

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-15

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-12

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-12

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-12

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-12

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-12

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-12

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-12

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-12

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-11

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-11

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-11

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-11

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-11

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-11

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-11

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-11

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-11

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-11

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-11

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-11

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-11

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-11

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-11

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-11

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-07-11

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-11

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-11

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-11

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

explanation_study_pack — 2026-07-10

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  "conceptTitle": "BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera",
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    "text": "Concept: BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera:\n\nKernidee: Concept: BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera\n\nSummary:\nFocus van deze les:\nImagine an agent that doesn't just act, but learns from each action to refine its future decisions\n\nWat je echt moet begrijpen:\nThat's what systems like Baby AGI and AlphaCode demonstrate\n\nHoe je dit stap voor stap toepast:\n1.\n\nWaarom dit belangrijk is: De uitleg opent met Imagine an agent that doesn't just act, but learns fr\n\nKey points:\n- Imagine an agent that doesn't just act, but learns from each action to refine its future decisions\n- Wat je echt moet begrijpen:\n- That's what systems like Baby AGI and AlphaCode demonstrate\n- Hoe je dit stap voor stap toepast:\n- 1.\n\nWat je vooral moet onthouden: De uitleg opent met Imagine an agent that doesn't just act, but learns from each action to refine its future decisions.."
  },
  "flashcards": {
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      {
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      },
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        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Imagine an agent that doesn't just act, but learns from each action to refine its future decisions"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "That's what systems like Baby AGI and AlphaCode demonstrate"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 8",
        "back": "1. De uitleg opent met Imagine an agent that doesn't just act, but learns fr"
      },
      {
        "front": "Herinnering 9",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 10",
        "back": "Imagine an agent that doesn't just act, but learns from each action to refine its future decisions"
      }
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  },
  "quiz": {
    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
        "choices": [
          "De uitleg opent met Imagine an age

explanation_export — 2026-07-10

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  "sourceText": "Imagine an agent that doesn't just act, but learns from each action to refine its future decisions.\nThat's what systems like Baby AGI and AlphaCode demonstrate.\nFeedback loops that drive intelligent behavior.\nBaby AGI is an open-source agent that simulates autonomous goal pursuit.\nYou give it a high-level objective, like grow a Twitter following, and it breaks it into tasks, ranks them, and executes them one at a time.\nAfter each task, it evaluates the result, reprioritizes, and adjusts the task list.\nBy the end of this video, you will be able to describe how Baby AGI uses task loops and prioritization to simulate autonomous goal pursuit.\nExplain how AlphaCode leverages trial and selection to solve complex coding problems.\nIdentify the role of feedback and iteration in improving agent behavior.\nDifferentiate between static automation and adaptive intelligence in agent design.\nRecognize how embedded evaluation enables agents to refine performance over time.\nThis loop creates emergent planning behavior.\nThe agent learns from outcomes and tweaks future steps.\nEven without formal learning, its structure allows for continuous refinement.\nAlphaCode, developed by DeepMind, tackles coding challenges by generating hundreds of possible solutions, testing them, and filtering based on correctness and efficiency.\nIt doesn't rely on a single answer. It learns by trial and selection.\nThe key here isn't brute force. It's behavioral variation plus evaluation.\nIt models uncertainty and explores multiple reasoning paths until one sticks.\nBoth Baby AGI and AlphaCode succeed because they embed feedback into their process.\nThey don't treat output as the endpoint, they treat it as a signal.\nIf your agent isn't improving over time, it's just automating.\nBut if it's observing, adapting, and iterating, you are building something closer to intelligence.\nBefore we move on, take a moment to reflect and answer the quick question on your screen.\nIn this video, you learned how Baby AGI simulates goal pursuit through task decomposition and prioritization.\nWhy AlphaCode uses behavioral variation and trial-based selection for coding tasks.\nThe role of feedback loops in enabling agents to refine and adapt behavior.\nWhy treating output as a signal, not an endpoint, drives intelligent iteration.\nWhat makes an agent improve over time versus simply automating steps.\nWhen Baby AGI and AlphaCode was explored, what stood out wasn't just their capabilities, it was how they adapt.\nThey didn't need perfect logic upfront. Instead, they used feedback to improve, just like a

explanation_study_pack — 2026-07-10

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  "conceptTitle": "Agent Behavior Breakdown: Debugging and Testing | Coursera",
  "language": "Dutch",
  "level": "beginner",
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  "sourceUrl": "https://www.coursera.org/learn/building-ai-agents-for-complex-tasks/lecture/sg2yI/agent-behavior-breakdown-debugging-and-testing",
  "sourceTitle": "Agent Behavior Breakdown: Debugging and Testing | Coursera",
  "summary": {
    "text": "Concept: Agent Behavior Breakdown: Debugging and Testing | Coursera:\n\nKernidee: Concept: Agent Behavior Breakdown: Debugging and Testing | Coursera\n\nSummary:\nFocus van deze les:\nWhen your agent answers the wrong question or repeats a task, it's tempting to fix\n\nWat je echt moet begrijpen:\nthe output.\n\nWaarom dit belangrijk is: But to build intelligent systems, you have to debug the behavior, not just the\n\nHoe je dit stap voor stap toepast:\n1.\n\nWat je vooral moet onthouden: Key points:\n- When your agent answers the wrong question or repeats a task, it's tempting to fix\n- Wat je echt moet begrijpen:\n- the output."
  },
  "flashcards": {
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        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "When your agent answers the wrong question or repeats a task, it's tempting to fix"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "the output. But to build intelligent systems, you have to debug the behavior, not just the"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 8",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 9",
        "back": "When your agent answers the wrong question or repeats a task, it's tempting to fix"
      },
      {
        "front": "Herinnering 10",
        "back": "Wat je echt moet begrijpen:"
      }
    ]
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      {
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          "Concept: Agent Behavior Breakdown: Debugging and Testing | Coursera\n\nSummary:\nFocus van deze les:\nWhen your agent answers the wrong question or repeats a task, it's tempting to fix\n\nWat je echt moet begrijpen:\nthe output.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
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          "But to build intelligent systems, you have to debug the behavior, not just the\n\nHoe je dit stap voor stap toepast:\n1.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke ker

explanation_export — 2026-07-10

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"sourceText": "When your agent answers the wrong question or repeats a task, it's tempting to fix\nthe output. But to build intelligent systems, you have to debug the behavior, not just the\nresult. Let's look at how to break down what your agent did, why it did it, and how\nto fix it. why debugging agents means analyzing behavior,\nnot just fixing broken outputs. What kinds of bugs emerge from decision loops, memory\nuse and tool logic? Key questions to ask when tracing agent reasoning and response failures.\nHow to design tests that evaluate reasoning chains, fallback handling and memory updates.\nHow to use logs and traces to identify where and why agent behavior breaks down. Unlike\ntraditional software, AI agents rely on decision loops, memory and tool use, which means bugs\ndon't just live in the code, they live in the logic behind tool choice, the breakdown\nof memory updates, the way an agent handles failed responses. You need to inspect not\njust what the agent said, but what it believed was true at the time. When debugging an agent,\nask yourself, did it perceive the input correctly? Did it select the right tool or intent? Was\nmemory updated properly? Was a fallback triggered? And why? Did the reasoning chain break a loop?\nHere's a lang chain agent that searched retreat too many documents and got stuck summarizing\nconflicting info. The issue, a missing guardrail on its planning logic. To catch these issues\nearly, build agent specific tests. You can simulate inputs and check expected reasoning\npaths, log tool calls and validate response accuracy, monitor token usage and memory changes.\nUse test cases that mirror edge cases like ambiguous queries or dropped context. You're\nnot just testing answers, you're testing the reasoning. Does the agent behave the way you\nexpect it to under pressure? Debugging AI agents means stepping into their loop, following\nhow they process, decide and act. You're testing not just outcomes, but behavioral logic across\ntime. Before we move on, take a moment to reflect and answer the quick question on your\nscreen. In this video, you learned why debugging AI agents requires inspecting behavior, not\njust outputs. How decision loops, memory and tool use affect agent reliability. Common\nfailure points like broken reasoning chains or outdated context. Key debugging questions\nto uncover root causes in agent logic. How to use logs, simulations and behavioral tests\nto improve agent performance. Early in development, agent errors are often treated like simple\nbugs, issues to be fixed with a patch or prompt tweak. Real breakthroughs happen when debugging\nshifts to un

explanation_study_pack — 2026-07-10

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    "text": "Concept: BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera:\n\nKernidee: Concept: BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera\n\nSummary:\nFocus van deze les:\nImagine an agent that doesn't just act, but learns from each action to refine its future decisions\n\nWat je echt moet begrijpen:\nThat's what systems like Baby AGI and AlphaCode demonstrate\n\nHoe je dit stap voor stap toepast:\n1.\n\nWaarom dit belangrijk is: De uitleg opent met Imagine an agent that doesn't just act, but learns fr\n\nKey points:\n- Imagine an agent that doesn't just act, but learns from each action to refine its future decisions\n- Wat je echt moet begrijpen:\n- That's what systems like Baby AGI and AlphaCode demonstrate\n- Hoe je dit stap voor stap toepast:\n- 1.\n\nWat je vooral moet onthouden: De uitleg opent met Imagine an agent that doesn't just act, but learns from each action to refine its future decisions.."
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      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
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      {
        "front": "Herinnering 4",
        "back": "Imagine an agent that doesn't just act, but learns from each action to refine its future decisions"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "That's what systems like Baby AGI and AlphaCode demonstrate"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
      },
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        "front": "Herinnering 8",
        "back": "1. De uitleg opent met Imagine an agent that doesn't just act, but learns fr"
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      {
        "front": "Herinnering 9",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 10",
        "back": "Imagine an agent that doesn't just act, but learns from each action to refine its future decisions"
      }
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  },
  "quiz": {
    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
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          "Concept: BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera\n\nSummary:\nFocus van deze les:\nImagine an agent that doesn't just act, but learns from each action to refine its future decisions\n\nWat je echt moet begrijpen:\nThat's what systems like Baby AGI and AlphaCode demonstrate\n\nHoe je dit stap voor stap toepast:\n1.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
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        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
        "choices": [
          "De uitleg opent met Imagine an age

explanation_export — 2026-07-10

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  "source": "extension",
  "sourceUrl": "https://www.coursera.org/learn/building-ai-agents-for-complex-tasks/lecture/SmBKE/babyagi-alphacode-improving-agent-performance-over-time",
  "sourceTitle": "BabyAGI, AlphaCode: Improving Agent Performance Over Time | Coursera",
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  "lessonId": "smbke",
  "moduleId": "building-ai-agents-for-complex-tasks",
  "lessonKey": "coursera:/learn/building-ai-agents-for-complex-tasks/lecture/smbke/babyagi-alphacode-improving-agent-performance-over-ti",
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  "sourceText": "Imagine an agent that doesn't just act, but learns from each action to refine its future decisions.\nThat's what systems like Baby AGI and AlphaCode demonstrate.\nFeedback loops that drive intelligent behavior.\nBaby AGI is an open-source agent that simulates autonomous goal pursuit.\nYou give it a high-level objective, like grow a Twitter following, and it breaks it into tasks, ranks them, and executes them one at a time.\nAfter each task, it evaluates the result, reprioritizes, and adjusts the task list.\nBy the end of this video, you will be able to describe how Baby AGI uses task loops and prioritization to simulate autonomous goal pursuit.\nExplain how AlphaCode leverages trial and selection to solve complex coding problems.\nIdentify the role of feedback and iteration in improving agent behavior.\nDifferentiate between static automation and adaptive intelligence in agent design.\nRecognize how embedded evaluation enables agents to refine performance over time.\nThis loop creates emergent planning behavior.\nThe agent learns from outcomes and tweaks future steps.\nEven without formal learning, its structure allows for continuous refinement.\nAlphaCode, developed by DeepMind, tackles coding challenges by generating hundreds of possible solutions, testing them, and filtering based on correctness and efficiency.\nIt doesn't rely on a single answer. It learns by trial and selection.\nThe key here isn't brute force. It's behavioral variation plus evaluation.\nIt models uncertainty and explores multiple reasoning paths until one sticks.\nBoth Baby AGI and AlphaCode succeed because they embed feedback into their process.\nThey don't treat output as the endpoint, they treat it as a signal.\nIf your agent isn't improving over time, it's just automating.\nBut if it's observing, adapting, and iterating, you are building something closer to intelligence.\nBefore we move on, take a moment to reflect and answer the quick question on your screen.\nIn this video, you learned how Baby AGI simulates goal pursuit through task decomposition and prioritization.\nWhy AlphaCode uses behavioral variation and trial-based selection for coding tasks.\nThe role of feedback loops in enabling agents to refine and adapt behavior.\nWhy treating output as a signal, not an endpoint, drives intelligent iteration.\nWhat makes an agent improve over time versus simply automating steps.\nWhen Baby AGI and AlphaCode was explored, what stood out wasn't just their capabilities, it was how they adapt.\nThey didn't need perfect logic upfront. Instead, they used feedback to improve, just like a

flashcards — 2026-07-10

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  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-10

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-10

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-10

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

explanation_study_pack — 2026-07-09

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  "derivationVersion": "explanation-study-pack-v2",
  "sourceArtifactId": "cmre4evqt00pnaf063prjdzhs",
  "conceptTitle": "Zip Files for Automation | Coursera",
  "language": "Dutch",
  "level": "beginner",
  "lessonType": "video_lesson",
  "sourceUrl": "https://www.coursera.org/learn/chatgpt-advanced-data-analysis/lecture/XpI2t/zip-files-for-automation",
  "sourceTitle": "Zip Files for Automation | Coursera",
  "summary": {
    "text": "Concept: Zip Files for Automation | Coursera:\n\nKernidee: Concept: Zip Files for Automation | Coursera\n\nSummary:\nFocus van deze les:\nWe can always go and upload individual files and download individual files to\n\nWat je echt moet begrijpen:\ncode interpreter, and we can certainly get by that way\n\nHoe je dit stap voor stap toepast:\n1.\n\nWaarom dit belangrijk is: De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.\n\nWat je vooral moet onthouden: Key points:\n- We can always go and upload individual files and download individual files to\n- Wat je echt moet begrijpen:\n- code interpreter, and we can certainly get by that way\n- Hoe je dit stap voor stap toepast:\n- 1."
  },
  "flashcards": {
    "cards": [
      {
        "front": "Herinnering 1",
        "back": "Concept: Zip Files for Automation | Coursera"
      },
      {
        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "We can always go and upload individual files and download individual files to"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "code interpreter, and we can certainly get by that way"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 8",
        "back": "1. De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and."
      },
      {
        "front": "Herinnering 9",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 10",
        "back": "We can always go and upload individual files and download individual files to"
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  "quiz": {
    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
        "choices": [
          "Concept: Zip Files for Automation | Coursera\n\nSummary:\nFocus van deze les:\nWe can always go and upload individual files and download individual files to\n\nWat je echt moet begrijpen:\ncode interpreter, and we can certainly get by that way\n\nHoe je dit stap voor stap toepast:\n1.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
        "choices": [
          "De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst

explanation_export — 2026-07-09

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  "sourceText": "We can always go and upload individual files and download individual files to\ncode interpreter, and we can certainly get by that way.\nBut one of the wonderful things about code interpreter and the way that it works is\nthat it can actually take zip files, unzip them, work on multiple files at once, and\nautomate entire processes for us, and then zip up the results and\ngive us back multiple results at once, which is way more convenient.\nIt also allows us to do interesting things, like when you have a zip file,\nit can actually have a folder hierarchy inside of it.\nOr we can give additional things or tools or other possibilities,\nbits of python code, anything we want to do to code interpreter.\nBut I'm going to give you a simple example of why an archive is so helpful.\nLet's imagine that you have a series of images, and you want to go and\napply a transformation to them.\nYou want to make them much more stylized, apply some filter to them.\nYou've taken all these images, okay?\nNow, you want to stylize them.\nSo, I'm going to upload an archive full of images to code interpreter.\nBut this could be an archive of any of your files.\nIt could be an archive full of Excel files that you want to combine.\nIt might be an archive full of Excel files, and\nyou want a specific visualization built for every single individual Excel file.\nOr maybe you want to search across those Excel files and filter them for\na subset of rows and then create new Excel files, whatever automation you want to do.\nSo whenever you start thinking about I have multiple files and\nI need to automate some process across them,\nyou want to start thinking about uploading a zip file to code interpreter.\nZip everything up that you're going to perform the operation on, describe\nthe operation and tell it to perform it on the files that are within the zip file.\nSimple automation, super effective.\nSo, I'm going to upload this archive full of images, and I'm going to say,\nplease make these images much more stylized by dramatically\nincreasing the contrast and saturation.\nSo, simple pattern.\nWhenever you need to automate something on a set of files,\nzip them up into an archive and upload the zip.\nIt's basically the archive interaction pattern.\nSo now, what it's going to do is it's going to say, first thing,\nlet's unzip the archive to access the images.\nIt then pulls out each of the individual JPEGs, which were JPEGs that I'd\npulled out of a movie, it then goes through and access provides each of them.\nNow, I could stop and I could download them one by one at this point, but\nthat seems like a lot of work for me, particularly if I've got 100 files or\n200 files.\nSo, instead what I'm going to do is I'm just going to say zip up the files so\nthat I can down

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Working with Media | Coursera",
  "language": "Dutch",
  "level": "beginner",
  "lessonType": "video_lesson",
  "sourceUrl": "https://www.coursera.org/learn/chatgpt-advanced-data-analysis/lecture/1avJl/working-with-media",
  "sourceTitle": "Working with Media | Coursera",
  "summary": {
    "text": "Concept: Working with Media | Coursera:\n\nKernidee: Concept: Working with Media | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/4] Code Interpreter is really useful for working with media.\n\nWaarom dit belangrijk is: If you have videos, if you have audio files, if you have collections of images, working with all of them, you...\n\nWat je vooral moet onthouden: Key points:\n- Part 1/4] Code Interpreter is really useful for working with media."
  },
  "flashcards": {
    "cards": [
      {
        "front": "Herinnering 1",
        "back": "Concept: Working with Media | Coursera"
      },
      {
        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Part 1/4] Code Interpreter is really useful for working with media. If you have videos, if you have audio files, if you have collections of images, working with all of them, you..."
      },
      {
        "front": "Herinnering 5",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 6",
        "back": "Part 1/4] Code Interpreter is really useful for working with media. If you have videos, if you have audio files, if you have collections of images, working with all of them, you..."
      },
      {
        "front": "Herinnering 7",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 8",
        "back": "Part 2/4] I'm giving it a pattern to follow on each individual one. I'm saying resize each, and then I'm giving it to constraints what I want. This is going to be a pattern that..."
      },
      {
        "front": "Herinnering 9",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 10",
        "back": "1. De uitleg opent met [Part 1/4] Code Interpreter is really useful for working with media.. Dat zet het vertrekpunt van de redenering neer."
      }
    ]
  },
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    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
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          "Concept: Working with Media | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/4] Code Interpreter is really useful for working with media.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
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      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
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          "If you have videos, if you have audio files, if you have collections of images, working with all of them, you...",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
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        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles

explanation_export — 2026-07-09

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  "sourceText": "Code Interpreter is really useful for working with media.\nIf you have videos,\nif you have audio files,\nif you have collections of images,\nworking with all of them,\nyou can do a lot of things really quickly.\nYou can absolutely go into a program and try to create\nsome batch process or try to\nmanually do things in one of these tools,\nbut Code Interpreter is super powerful for going\nand exploring media and creating new types of idea.\nSo I'm going to give you an example of this.\nI've taken a video of my son biking.\nHe loves to go and do BMX racing\nand do dirt jumps and all kinds of interesting things.\nI've uploaded this video and I'm going to\ndo a simple extraction.\nI'm going to take 10 frames out of this video,\nand then I'm going to do some things with them.\nYou can go and play around with media\nand do all kinds of interesting things.\nI encourage you, after you do this,\ntake an image, upload it,\nand try experimenting with\ndoing different operations on the image.\nI'm just going to go and say extract 10 frames\nfrom this video evenly spaced apart.\nThis is something I would probably have to\ngo and look up some command line tool.\nI know the tool I would use and figure out\nexactly the commands to do this from the command line.\nBut it's a lot more fun and easier\nto just do this with Code Interpreter.\nIt goes and generates the code\nto go and extract the 10 images,\nand this is super useful.\nNow I have the 10 images and I can download each\nof them right here and go and work with them.\nThat in itself is a super useful thing.\nIf I have some image,\nor I have some movie,\nor some audio file and I'm going to\nextract something from it,\nI want to get a segment of the video.\nI don't want the whole thing or I want to chop\noff the start and end, something like that.\nNow, there's a limit to how much,\nhow big a files you can upload,\nbut you can do pretty sophisticated things\nand you can get away with a lot.\nI'm going to say just go and display\nthese 10 images so I can get\na sense of what the images look\nlike that it pulled out and it generates\nthis nice graphic displaying\nthe 10 frames that is extracted,\nand we can look at\neach one of them and see what they are.\nNow, what I've decided I want to\ndo is something that you've seen a lot on the Internet.\nIt's a fun little thing to go and do,\nand that is I want to go and resize these things,\nmodify them some,\nand turn them into a animated GIF.\nI'm going to start off by just telling it,\nnow if you imagine you have like\n100 images you need to resize,\nthis is super effective.\nI'm just going to say resize each image,\nmaintain the aspect ratio to 300 pixels wide.\nIf you have a bunch of operations,\nyou want it to apply\nto an image and you don't know how to\ndescribe it and tex

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Working with Structured Data | Coursera",
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    "text": "Concept: Working with Structured Data | Coursera:\n\nKernidee: Concept: Working with Structured Data | Coursera\n\nSummary:\nFocus van deze les:\nWenn Sie hören, dass Code-Interpreter die Art\n\nWat je echt moet begrijpen:\nund Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten\n\nHoe je dit stap voor stap toepast:\n1.\n\nWaarom dit belangrijk is: De uitleg opent met Wenn Sie hören, dass Code-Interpreter die Art.\n\nWat je vooral moet onthouden: Key points:\n- Wenn Sie hören, dass Code-Interpreter die Art\n- Wat je echt moet begrijpen:\n- und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten\n- Hoe je dit stap voor stap toepast:\n- 1."
  },
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      {
        "front": "Herinnering 1",
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      },
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        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Wenn Sie hören, dass Code-Interpreter die Art"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 8",
        "back": "1. De uitleg opent met Wenn Sie hören, dass Code-Interpreter die Art."
      },
      {
        "front": "Herinnering 9",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 10",
        "back": "Wenn Sie hören, dass Code-Interpreter die Art"
      }
    ]
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    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
        "choices": [
          "Concept: Working with Structured Data | Coursera\n\nSummary:\nFocus van deze les:\nWenn Sie hören, dass Code-Interpreter die Art\n\nWat je echt moet begrijpen:\nund Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten\n\nHoe je dit stap voor stap toepast:\n1.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
        "choices": [
          "De uitleg opent met Wenn Sie hören, dass Code-Interpreter die Art.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 3?",
        "choices":

explanation_export — 2026-07-09

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"sourceText": "Wenn Sie hören, dass Code-Interpreter die Art\nund Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten,\nrevolutionieren, liegt das daran, dass der Codeinterpreter\nwirklich gut mit strukturierten Daten funktioniert. Ich habe also darüber gesprochen, dass es\nviel einfacher ist, mit strukturierten Daten, wenn man sie hat, im Codeinterpreter zu\narbeiten. Und das möchte ich dir zeigen. Und die Arbeit mit strukturierten Daten ist\neiner der ersten Orte, an denen Sie beginnen sollten. Wenn Sie über strukturierte Daten\nverfügen, verwenden Sie einfach die Daten, die Sie haben. Stellen Sie natürlich sicher, dass es in\nOrdnung ist, mit diesen Daten im Rahmen Ihrer Datenschutz- und anderer Richtlinien zu\narbeiten, aber wenn Sie sie haben, wenn Sie Beispieldaten haben, die für die Spalten\nund die Datentypen, mit denen Sie arbeiten,\nrepräsentativ sind, können Sie diese stattdessen verwenden. Sie können also\nDummy-Daten verwenden, um sich ein Bild davon zu machen, wie das alles funktioniert.\nSchauen wir uns nun ein Beispiel mit Vanderbilt-Daten an. In einem separaten Gespräch habe ich den\nJahresbericht von Vanderbilt genommen, mit dem Code-Interpreter viele wichtige Kennzahlen\naus diesem Bericht extrahiert und ihn als CSV-Datei gespeichert. Das ist hilfreich,\ndenn jetzt kann ich diese CSV-Datei wiederverwenden und immer wieder mit den\nstrukturierten Daten beginnen. Also, hier ist das erste Interaktionsmuster, zu dessen Verwendung ich Sie ermutigen werde, dieses\nKonversationsmuster, wenn Sie mit strukturierten Daten arbeiten. Bitte lesen\nund erläutern Sie die Struktur der Daten in diesem Dokument. Oder lesen und erläutern Sie bitte die\nStruktur der Daten. Ich werde zwei Dinge tun, erstens sage ich\nihm, er soll es lesen, es sich ansehen, aber ich möchte auch, dass es es erklärt. Nun, warum mache ich diese beiden Dinge\ngleichzeitig, wenn ich mit strukturierten Daten arbeite? Nun, ich möchte mich darauf verlassen können,\ndass beim Laden dieser Daten erstens der richtige Datensatz geladen wird und zweitens,\ndass die Struktur, die es im Datensatz wahrnimmt, dieselbe Struktur\nist, die ich im Datensatz wahrnehme. Ich versuche unter anderem sicherzustellen,\ndass der Codeinterpreter und ich auf derselben Wellenlänge sind. Schauen wir uns dieselben Daten an? Hat es dieselbe Struktur, die wir erwarten? Ist der Codeinterpreter in der Lage, ihn\nkorrekt zu analysieren und die Struktur daraus herauszuholen? Und das wird uns helfen, diese Frage zu\nbeantworten. Also, zuerst das Muster, lies und erkläre die\nStruktur. Jetzt geht es durch und es heißt, hier ist\ndie Struktur. Es berichtet über verschiedene Kennzahlen für\ndie Vanderbilt University im Laufe der Jahre. In dieser Spalte wird di

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Asking Questions in a Small Document | Coursera",
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  "level": "beginner",
  "lessonType": "video_lesson",
  "sourceUrl": "https://www.coursera.org/learn/chatgpt-advanced-data-analysis/lecture/t1Am3/asking-questions-in-a-small-document",
  "sourceTitle": "Asking Questions in a Small Document | Coursera",
  "summary": {
    "text": "Concept: Asking Questions in a Small Document | Coursera:\n\nKernidee: Concept: Asking Questions in a Small Document | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that...\n\nWaarom dit belangrijk is: Wat je echt moet begrijpen:\nPart 2/5] That's going to trigger code interpreter basically going and looking at what's ins\n\nKey points:\n- Part 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that...\n\nWat je vooral moet onthouden: - Wat je echt moet begrijpen:\n- Part 2/5] That's going to trigger code interpreter basically going and looking at what's inside the document."
  },
  "flashcards": {
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      {
        "front": "Herinnering 1",
        "back": "Concept: Asking Questions in a Small Document | Coursera"
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        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Part 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that... Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 5",
        "back": "Part 2/5] That's going to trigger code interpreter basically going and looking at what's ins"
      },
      {
        "front": "Herinnering 6",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 7",
        "back": "Part 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that..."
      },
      {
        "front": "Herinnering 8",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 9",
        "back": "Part 2/5] That's going to trigger code interpreter basically going and looking at what's inside the document. It's gone and looked through and inspected the documents. That's fi..."
      },
      {
        "front": "Herinnering 10",
        "back": "Hoe je dit stap voor stap toepast:"
      }
    ]
  },
  "quiz": {
    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
        "choices": [
          "Concept: Asking Questions in a Small Document | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that...",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
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      {
        "prompt": "Welke kernles hoort het be

explanation_export — 2026-07-09

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  "sourceText": "Let's have some fun with code interpreter\nby learning to work with small documents and\nwhat document could be more fun every\nyear to work with than the IRS 1040,\nthat if you're an American citizen,\nyou have to fill out on your taxes?\nIt's possibly the most fun document\nthat I ever worked with in my life.\nOf course, this is completely not true.\nIt's the document that I absolutely dread dealing with.\nUsually, I'm trying to avoid it all year long because\nit's a complicated mess of a document.\nIt's got tons and tons of questions.\nIt's dense, it's hard to read.\nIt's got all these rules.\nI always feel like I'm lost in what I'm doing.\nLet's go and do just a simple chat\nabout how we might be able to\nuse code interpreter to help us with the 1040.\nNow, I'm going to go ahead and state up front,\nI would not use a code interpreter to do your taxes.\nIt can make mistakes.\nYou would want to go use an accountant,\nsomebody who knows what they are doing.\nThis is not tax advice.\nThis is just an example of how you can\ntake a document that is small\nenough to fit into code interpreter and\nread and reason about\nhow you can go and interact with it.\nEven if that document is really complex.\nThat's the point of this is this is a\ncomplex, really dense document,\nbut it happens to fit into essentially a single message.\nNow I'm not going to go and copy and paste,\nbut let's take a look at this document.\nI encourage you to go and find\nsome document of yours that is preferably in plain text,\nbut it could be PDF and there are some tricks on that.\nBut get started and go play\nwith a document and start asking questions\nand discovering the limits\nand the things that does really well.\nI'm going to start off by doing\na basic pattern that you're going to\nsee over and over when I'm working\nwith PDFs or other documents.\nI'm going to say extract\nthis document into plain text and\nthen read the document and tell\nme all of the pieces of information to the question.\nBut the key pattern that I'm doing as I'm saying,\nextract this document to\nplain text and then read the document.\nIf I got a document that sits in\nand can be fed into one single chat message.\nThis is how I'm going to approach this.\nI'm just going to say extract\nit to plain text to read it.\nSometimes I'll just say read it,\nbut extract and then\nread tends to work better if you're working\nwith PDFs because sometimes\ncode interpreter will come back and tell you,\nhey, I can't read PDFs.\nBut if you tell it, extract it to\nplain text and then read the plain text,\nthat works on a lot of file formats.\nIt's a pretty effective way of doing no,\nyou don't always want to extract it that way.\nSometimes th

explanation_study_pack — 2026-07-09

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  "sourceArtifactId": "cmre3k5ki00mvaf069e9wzok5",
  "conceptTitle": "(H) Help Provide a Safety Net | Coursera",
  "language": "Dutch",
  "level": "beginner",
  "lessonType": "reading_lesson",
  "sourceUrl": "https://www.coursera.org/learn/chatgpt-advanced-data-analysis/lecture/fvkiq/h-help-provide-a-safety-net",
  "sourceTitle": "(H) Help Provide a Safety Net | Coursera",
  "summary": {
    "text": "Concept: (H) Help Provide a Safety Net | Coursera:\n\nKernidee: Concept: (H) Help Provide a Safety Net | Coursera\n\nSummary:\nFocus van deze les:\nCode interpreter can help us provide a safety net so\n\nWat je echt moet begrijpen:\nthat we can catch mistakes by humans before they go out and cause a problem\n\nHoe je dit stap voor stap toepast:\n1.\n\nWaarom dit belangrijk is: De uitleg opent met Code interpreter can help us provide a safety net so.\n\nWat je vooral moet onthouden: Key points:\n- Code interpreter can help us provide a safety net so\n- Wat je echt moet begrijpen:\n- that we can catch mistakes by humans before they go out and cause a problem\n- Hoe je dit stap voor stap toepast:\n- 1."
  },
  "flashcards": {
    "cards": [
      {
        "front": "Herinnering 1",
        "back": "Concept: (H) Help Provide a Safety Net | Coursera"
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      {
        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Code interpreter can help us provide a safety net so"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "that we can catch mistakes by humans before they go out and cause a problem"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 8",
        "back": "1. De uitleg opent met Code interpreter can help us provide a safety net so."
      },
      {
        "front": "Herinnering 9",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 10",
        "back": "Code interpreter can help us provide a safety net so"
      }
    ]
  },
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    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
        "choices": [
          "Concept: (H) Help Provide a Safety Net | Coursera\n\nSummary:\nFocus van deze les:\nCode interpreter can help us provide a safety net so\n\nWat je echt moet begrijpen:\nthat we can catch mistakes by humans before they go out and cause a problem\n\nHoe je dit stap voor stap toepast:\n1.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
        "choices": [
          "De uitleg opent met Code interpreter can help us provide a safety net so.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
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      },
      {
        "prompt": "Welke kernles hoort het best b

explanation_export — 2026-07-09

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  "sourceText": "Code interpreter can help us provide a safety net so\nthat we can catch mistakes by humans before they go out and cause a problem.\nSo let me give you an example of what I mean by this.\nWe want to try to catch things that would be hard to catch other ways or\nthat would require some human review to catch.\nSo we want to provide an extra safety net.\nWe'll probably always have humans reviewing things, but\nin addition to the humans that are reviewing things, maybe we want to have\nan additional check to make sure nothing accidentally gets out or\naccidentally is done that causes some negative impact.\nAnd so this is a second check for a human.\nSo I'm going to give you an example.\nI'm going to upload the Vanderbilt Travel and\nBusiness Expense policy as a PDF, and I'm going to upload an invoice.\nAnd you can imagine now we could also do this in the case where we could go and\nupload it before we purchased it would be an even better example.\nBut let's imagine we've purchased this and we want to check for\ncompliance on expenses.\nMake sure that something gets approved,\ndoesn't get approved accidentally that shouldn't have been approved, or\nthat even better would be that when we're submitting our travel expense report\nbefore we submit it, we're told, what are the things that might be wrong with it so\nwe can go and fix them, so we don't have a lot of back and forth.\nAll of these types of things that help prevent humans from making mistakes\nby catching them earlier or checking for things that would have been\nsomething that would have been missed by another human checking it.\nSo it goes through and it reads the Vanderbilt Travel and Expense policy,\nsummarizes it, and I go through with it to read and\nsummarize all of the expense policies as we go through here.\nAnd then at the end of this, what it's basically done is it's read into\nthe conversation all of the relevant details.\nSo then I ask it to read the provided receipt and\ntell me if it complies with travel policy.\nDon't list what is on the receipt, just if it complies why or why not.\nNow, what's interesting is this actually isn't a travel receipt,\nwhich I didn't notice my prompt, but it smartly detects that this is a receipt and\nlooks at the relevant policies.\nSo based on the policy, it lists what it is, it extracts what this receipt is for,\nand it says here's an analysis of compliance with the relative sections.\nAnd it says business purpose.\nThe receipt does not indicate a specific business purpose or\napproval from a supervisor.\nWithout additional context or information,\nit's unclear whether this expense aligns with the university's business needs.\nAnd it turns out if I submitted this thing without the business purpose,\nit wou

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Working with Media | Coursera",
  "language": "Dutch",
  "level": "beginner",
  "lessonType": "video_lesson",
  "sourceUrl": "https://www.coursera.org/learn/chatgpt-advanced-data-analysis/lecture/1avJl/working-with-media",
  "sourceTitle": "Working with Media | Coursera",
  "summary": {
    "text": "Concept: Working with Media | Coursera:\n\nKernidee: Concept: Working with Media | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/4] Code Interpreter is really useful for working with media.\n\nWaarom dit belangrijk is: If you have videos, if you have audio files, if you have collections of images, working with all of them, you...\n\nWat je vooral moet onthouden: Key points:\n- Part 1/4] Code Interpreter is really useful for working with media."
  },
  "flashcards": {
    "cards": [
      {
        "front": "Herinnering 1",
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      {
        "front": "Herinnering 2",
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      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Part 1/4] Code Interpreter is really useful for working with media. If you have videos, if you have audio files, if you have collections of images, working with all of them, you..."
      },
      {
        "front": "Herinnering 5",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 6",
        "back": "Part 1/4] Code Interpreter is really useful for working with media. If you have videos, if you have audio files, if you have collections of images, working with all of them, you..."
      },
      {
        "front": "Herinnering 7",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 8",
        "back": "Part 2/4] I'm giving it a pattern to follow on each individual one. I'm saying resize each, and then I'm giving it to constraints what I want. This is going to be a pattern that..."
      },
      {
        "front": "Herinnering 9",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 10",
        "back": "1. De uitleg opent met [Part 1/4] Code Interpreter is really useful for working with media.. Dat zet het vertrekpunt van de redenering neer."
      }
    ]
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        "prompt": "Welke kernles hoort het best bij punt 1?",
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          "Concept: Working with Media | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/4] Code Interpreter is really useful for working with media.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
        "choices": [
          "If you have videos, if you have audio files, if you have collections of images, working with all of them, you...",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles

explanation_export — 2026-07-09

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  "sourceText": "Code Interpreter is really useful for working with media.\nIf you have videos,\nif you have audio files,\nif you have collections of images,\nworking with all of them,\nyou can do a lot of things really quickly.\nYou can absolutely go into a program and try to create\nsome batch process or try to\nmanually do things in one of these tools,\nbut Code Interpreter is super powerful for going\nand exploring media and creating new types of idea.\nSo I'm going to give you an example of this.\nI've taken a video of my son biking.\nHe loves to go and do BMX racing\nand do dirt jumps and all kinds of interesting things.\nI've uploaded this video and I'm going to\ndo a simple extraction.\nI'm going to take 10 frames out of this video,\nand then I'm going to do some things with them.\nYou can go and play around with media\nand do all kinds of interesting things.\nI encourage you, after you do this,\ntake an image, upload it,\nand try experimenting with\ndoing different operations on the image.\nI'm just going to go and say extract 10 frames\nfrom this video evenly spaced apart.\nThis is something I would probably have to\ngo and look up some command line tool.\nI know the tool I would use and figure out\nexactly the commands to do this from the command line.\nBut it's a lot more fun and easier\nto just do this with Code Interpreter.\nIt goes and generates the code\nto go and extract the 10 images,\nand this is super useful.\nNow I have the 10 images and I can download each\nof them right here and go and work with them.\nThat in itself is a super useful thing.\nIf I have some image,\nor I have some movie,\nor some audio file and I'm going to\nextract something from it,\nI want to get a segment of the video.\nI don't want the whole thing or I want to chop\noff the start and end, something like that.\nNow, there's a limit to how much,\nhow big a files you can upload,\nbut you can do pretty sophisticated things\nand you can get away with a lot.\nI'm going to say just go and display\nthese 10 images so I can get\na sense of what the images look\nlike that it pulled out and it generates\nthis nice graphic displaying\nthe 10 frames that is extracted,\nand we can look at\neach one of them and see what they are.\nNow, what I've decided I want to\ndo is something that you've seen a lot on the Internet.\nIt's a fun little thing to go and do,\nand that is I want to go and resize these things,\nmodify them some,\nand turn them into a animated GIF.\nI'm going to start off by just telling it,\nnow if you imagine you have like\n100 images you need to resize,\nthis is super effective.\nI'm just going to say resize each image,\nmaintain the aspect ratio to 300 pixels wide.\nIf you have a bunch of operations,\nyou want it to apply\nto an image and you don't know how to\ndescribe

explanation_study_pack — 2026-07-09

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    "text": "Concept: Working with Structured Data | Coursera:\n\nKernidee: Concept: Working with Structured Data | Coursera\n\nSummary:\nFocus van deze les:\nWenn Sie hören, dass Code-Interpreter die Art\n\nWat je echt moet begrijpen:\nund Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten\n\nHoe je dit stap voor stap toepast:\n1.\n\nWaarom dit belangrijk is: De uitleg opent met Wenn Sie hören, dass Code-Interpreter die Art.\n\nWat je vooral moet onthouden: Key points:\n- Wenn Sie hören, dass Code-Interpreter die Art\n- Wat je echt moet begrijpen:\n- und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten\n- Hoe je dit stap voor stap toepast:\n- 1."
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      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
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        "front": "Herinnering 4",
        "back": "Wenn Sie hören, dass Code-Interpreter die Art"
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      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
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      {
        "front": "Herinnering 6",
        "back": "und Weise, wie Datenwissenschaft gelehrt wird und wie Datenwissenschaftler arbeiten"
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      {
        "front": "Herinnering 7",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
        "choices": [
          "De uitleg opent met Wenn Sie hören, dass Code-Interpreter die Art.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 3?",
        "choices":

explanation_export — 2026-07-09

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Asking Questions in a Small Document | Coursera",
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    "text": "Concept: Asking Questions in a Small Document | Coursera:\n\nKernidee: Concept: Asking Questions in a Small Document | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that...\n\nWaarom dit belangrijk is: Wat je echt moet begrijpen:\nPart 2/5] That's going to trigger code interpreter basically going and looking at what's ins\n\nKey points:\n- Part 1/5] Let's have some fun with code interpreter by learning to work with small documents and what document could be more fun every year to work with than the IRS 1040, that...\n\nWat je vooral moet onthouden: - Wat je echt moet begrijpen:\n- Part 2/5] That's going to trigger code interpreter basically going and looking at what's inside the document."
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        "back": "Focus van deze les:"
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
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        "prompt": "Welke kernles hoort het be

explanation_export — 2026-07-09

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  "sourceText": "Let's have some fun with code interpreter\nby learning to work with small documents and\nwhat document could be more fun every\nyear to work with than the IRS 1040,\nthat if you're an American citizen,\nyou have to fill out on your taxes?\nIt's possibly the most fun document\nthat I ever worked with in my life.\nOf course, this is completely not true.\nIt's the document that I absolutely dread dealing with.\nUsually, I'm trying to avoid it all year long because\nit's a complicated mess of a document.\nIt's got tons and tons of questions.\nIt's dense, it's hard to read.\nIt's got all these rules.\nI always feel like I'm lost in what I'm doing.\nLet's go and do just a simple chat\nabout how we might be able to\nuse code interpreter to help us with the 1040.\nNow, I'm going to go ahead and state up front,\nI would not use a code interpreter to do your taxes.\nIt can make mistakes.\nYou would want to go use an accountant,\nsomebody who knows what they are doing.\nThis is not tax advice.\nThis is just an example of how you can\ntake a document that is small\nenough to fit into code interpreter and\nread and reason about\nhow you can go and interact with it.\nEven if that document is really complex.\nThat's the point of this is this is a\ncomplex, really dense document,\nbut it happens to fit into essentially a single message.\nNow I'm not going to go and copy and paste,\nbut let's take a look at this document.\nI encourage you to go and find\nsome document of yours that is preferably in plain text,\nbut it could be PDF and there are some tricks on that.\nBut get started and go play\nwith a document and start asking questions\nand discovering the limits\nand the things that does really well.\nI'm going to start off by doing\na basic pattern that you're going to\nsee over and over when I'm working\nwith PDFs or other documents.\nI'm going to say extract\nthis document into plain text and\nthen read the document and tell\nme all of the pieces of information to the question.\nBut the key pattern that I'm doing as I'm saying,\nextract this document to\nplain text and then read the document.\nIf I got a document that sits in\nand can be fed into one single chat message.\nThis is how I'm going to approach this.\nI'm just going to say extract\nit to plain text to read it.\nSometimes I'll just say read it,\nbut extract and then\nread tends to work better if you're working\nwith PDFs because sometimes\ncode interpreter will come back and tell you,\nhey, I can't read PDFs.\nBut if you tell it, extract it to\nplain text and then read the plain text,\nthat works on a lot of file formats.\nIt's a pretty effective way of doing no,\nyou don't always want to extract it that way.\nSo

flashcards — 2026-07-09

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  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-09

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  "questions": [
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      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
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      "prompt": "Welke kernles hoort het best bij punt 2?",
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        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
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cheat_sheet — 2026-07-09

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    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
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summary — 2026-07-09

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Getting Information Into the Conversation | Coursera",
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      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
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        "front": "Herinnering 4",
        "back": "Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr..."
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      {
        "front": "Herinnering 5",
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        "front": "Herinnering 6",
        "back": "Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr..."
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        "front": "Herinnering 7",
        "back": "Wat je echt moet begrijpen:"
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        "front": "Herinnering 8",
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        "front": "Herinnering 10",
        "back": "4. Daarna laat de les zien hoe Now, what does it mean for it to be easy to access? het resultaat of de toepassing afrondt."
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
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          "Een keuze die het concept verw

explanation_export — 2026-07-09

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  "sourceText": "One of the most important things that you can do with code interpreter to be\neffective, particularly if you want to be effective in getting it to reason well.\nOr to write well or whatever it is is you want it to make sure that it has\neasy access to the knowledge that you're going to need it to reason on or\nuse as the basis of its writing, or\nto do whatever it is to filter, to transform whatever it is.\nNow, the easier it is for it to access that information,\nthe more successful you're going to be in using code interpreter.\nNow, what does it mean for it to be easy to access?\nIf you can see the information here in the conversation,\nyou are very likely going to be successful in whatever knowledge based\ntask you're trying to have GPT Four do through code interpreter.\nSo let me just repeat this, if you can see the information that it's going to\nbuild off of in the conversation, you're much more likely to be successful.\nThis is the simplest, easiest way to try to make sure that the reasoning is sound.\nNow, in this example, with the 1040 that I did a minute ago, I had it go and extract\na bunch of information and then I had it reread and extract additional information.\nAnd part of the reason for this was I didn't see the Identifiers for\nthe questions in the conversation.\nAnd I thought that was going to be something that I wanted based on the idea\nthat I was going to go and talk about different questions or\nask about what checkboxes.\nWell, if I'm going to refer to checkboxes, I'm probably going to need to know\nthe Identifiers form so I can go and reference back into the original form.\nNow, you don't have to do this, but it's often the easiest way to reason about what\ncode interpreter is doing and getting it to do the right thing is to get it to read\nthe information into the conversation.\nNow, there's other tricks that are used in the background to make this happen.\nNow, there's two places that the reading and rereading can happen.\nNow, I want to show you something interesting though, because I think this\nis really helpful to also show you why reading and rereading is powerful.\nSo in the first time that I said read this, we see it pop up this box\nthat's going and getting the information from Python, right?\nIt's using Python to read the PDF and extract the text and\nthen it shows the result here.\nSo one thing that's helpful to note here is it's actually brought\neverything into the conversation.\nNow, this is sort of a tricky thing to know, but the fact that it's read it and\nthen it's put it in here in this result, that means it's available and\nin the conversation, it's possible to have access to it.\nNow, it may not ha

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Zip Files for Automation | Coursera",
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  "summary": {
    "text": "Concept: Zip Files for Automation | Coursera:\n\nKernidee: Concept: Zip Files for Automation | Coursera\n\nSummary:\nFocus van deze les:\nThis next capability I'm going to talk about\n\nWat je echt moet begrijpen:\nis really one that you can only\n\nHoe je dit stap voor stap toepast:\n1.\n\nWaarom dit belangrijk is: De uitleg opent met Add places where all these paths.\n\nWat je vooral moet onthouden: Key points:\n- This next capability I'm going to talk about\n- Wat je echt moet begrijpen:\n- is really one that you can only\n- Hoe je dit stap voor stap toepast:\n- 1."
  },
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    "cards": [
      {
        "front": "Herinnering 1",
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      },
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        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "This next capability I'm going to talk about"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "is really one that you can only"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 8",
        "back": "1. De uitleg opent met Add places where all these paths."
      },
      {
        "front": "Herinnering 9",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 10",
        "back": "This next capability I'm going to talk about"
      }
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  "quiz": {
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        "prompt": "Welke kernles hoort het best bij punt 1?",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
        "choices": [
          "De uitleg opent met Add places where all these paths.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 3?",
        "choices": [
          "Key points:\n- This next capability I'm going to talk about\n- Wat je echt moet begrijpen:\n- is really one that you can only\n- Hoe je dit stap voor stap toepast:\n- 1.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",

explanation_export — 2026-07-09

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  "sourceText": "This next capability I'm going to talk about\nis really one that you can only\ntake from start to finish if you know how to\nprogram or you're a software engineer\nor computer scientist.\nBut you can use it in conjunction with somebody else\nwho is really good at those things\nif you aren't a programmer or computer scientist.\nIf you're an organization that has a bunch of\nprogrammers or you have a friend that it's a programmer,\nthis is a way that you could do that.\nNow what is this technique?\nIt's a very exciting one from\nthe perspective of software development.\nOne of the challenges that we have is\nwe have all these little tools\nthat we would like to have to help us out.\nAll day long when I'm working\nand thinking it'd be really nice to have a piece\nof software that did this and\nsimplified this process for me.\nSometimes as a software engineer,\nI'll go and take the time to actually\nwrite the software to do that.\nThe Code Interpreter creates\nan intriguing new possibility where we can\nactually turn a conversation\nwith Code Interpreter into software.\nNow, if you are not a programmer,\nif you can't read the code,\nyou should not go all\nthe way through with this because you have to\nbe able to look at the code\nand know if it's going to work correctly,\nif it's safe to run on your computer.\nIt could delete all the files for all you know,\nif you can't read the code.\nWe 100% know that\nlarge language models can make mistakes,\nand you need to pay attention to\nthe code that comes out of what I'm going to show you,\nand if you can't read it and understand it,\nyou should not proceed.\nYou will need to go find a programmer\nto help the rest of the way.\nBut a programmer at some point,\na human software developer,\nneeds to be involved in\nthe analysis for what I'm going to show you.\nHowever, it's really exciting.\nLet's take a look at what we've got.\nThis is an original conversation that I\nhad where I took a movie\nand I extracted 10 different frames from the movie,\nI then went and display the images.\nI looked at it, I'm having this whole conversation,\nI resize the images and I did a bunch of other things.\nI turned each image into grayscale,\nI increase the contrast by 30%,\nand I turned the images into an animated GIF.\nI also created a PowerPoint presentation\nwith one image per slide.\nNow I thought, wouldn't it be great if I could take\nthis whole process so that I can repeat it?\nNow, I've repeated exactly this type of process for\ncreating tools to help me with\nthe creation of these videos and cataloging them.\nFor example, automatically going and\ntaking my videos and measuring how long they are,\ncreating CSV files for them,\ndoing other interesting things that

flashcards — 2026-07-09

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  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-09

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
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        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
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cheat_sheet — 2026-07-09

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    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-09

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  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

explanation_study_pack — 2026-07-09

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      },
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        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "This next capability I'm going to talk about"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "is really one that you can only"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 8",
        "back": "1. De uitleg opent met Add places where all these paths."
      },
      {
        "front": "Herinnering 9",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
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          "Een detail dat minder belangrijk is dan het hoofdidee.",

explanation_export — 2026-07-09

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  "sourceText": "This next capability I'm going to talk about\nis really one that you can only\ntake from start to finish if you know how to\nprogram or you're a software engineer\nor computer scientist.\nBut you can use it in conjunction with somebody else\nwho is really good at those things\nif you aren't a programmer or computer scientist.\nIf you're an organization that has a bunch of\nprogrammers or you have a friend that it's a programmer,\nthis is a way that you could do that.\nNow what is this technique?\nIt's a very exciting one from\nthe perspective of software development.\nOne of the challenges that we have is\nwe have all these little tools\nthat we would like to have to help us out.\nAll day long when I'm working\nand thinking it'd be really nice to have a piece\nof software that did this and\nsimplified this process for me.\nSometimes as a software engineer,\nI'll go and take the time to actually\nwrite the software to do that.\nThe Code Interpreter creates\nan intriguing new possibility where we can\nactually turn a conversation\nwith Code Interpreter into software.\nNow, if you are not a programmer,\nif you can't read the code,\nyou should not go all\nthe way through with this because you have to\nbe able to look at the code\nand know if it's going to work correctly,\nif it's safe to run on your computer.\nIt could delete all the files for all you know,\nif you can't read the code.\nWe 100% know that\nlarge language models can make mistakes,\nand you need to pay attention to\nthe code that comes out of what I'm going to show you,\nand if you can't read it and understand it,\nyou should not proceed.\nYou will need to go find a programmer\nto help the rest of the way.\nBut a programmer at some point,\na human software developer,\nneeds to be involved in\nthe analysis for what I'm going to show you.\nHowever, it's really exciting.\nLet's take a look at what we've got.\nThis is an original conversation that I\nhad where I took a movie\nand I extracted 10 different frames from the movie,\nI then went and display the images.\nI looked at it, I'm having this whole conversation,\nI resize the images and I did a bunch of other things.\nI turned each image into grayscale,\nI increase the contrast by 30%,\nand I turned the images into an animated GIF.\nI also created a PowerPoint presentation\nwith one image per slide.\nNow I thought, wouldn't it be great if I could take\nthis whole process so that I can repeat it?\nNow, I've repeated exactly this type of process for\ncreating tools to help me with\nthe creation of these videos and cataloging them.\nFor example, automatically going and\ntaking my videos and measuring how long they are,\ncreating CSV files for them,\ndoing other interesting things that

explanation_study_pack — 2026-07-09

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        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "I want to help you gauge the difficulty of"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "a task that you're about to start with Code Interpreter"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 8",
        "back": "1. De uitleg opent met I want to help you gauge the difficulty of."
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      {
        "front": "Herinnering 9",
        "back": "Key points:"
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      {
        "front": "Herinnering 10",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 3?",
        "choices": [
          "Key points:\n- I wan

explanation_export — 2026-07-09

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  "conceptTitle": "Turning Conversations into Software Utilities | Coursera",
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  "sourceText": "I want to help you gauge the difficulty of\na task that you're about to start with Code Interpreter.\nNow, the reason for this is when you get started,\nyou're going to have all ideas\nof things that you can go and try.\nBut I want you to have a way of understanding\nhow difficult each of\nyour ideas are going to be to accomplish.\nIf you understand two basic things\nthat we're going to talk about,\nyou'll be much better off in terms of gauging\nthe difficulty of accomplishing a particular task.\nThose two things are,\nif you want to know how\ndifficult a particular task is going to be,\nwe want to go and look at\nthe document or data that we're going to work with.\nThe first question we want to ask is\nhow structured or unstructured is that data?\nStructured data is something like a table.\nIf you've got a bunch of tables that you're trying\nto read through and it's all in Excel format,\nthat's a structured format.\nThis is an example here where I'm uploading a CSV file,\nthat is a structured format.\nIt's like a table.\nIt's some very clearly marked format\nwhere you know what all the parts are.\nCSV files, Excel files,\nall of these types of things are very structured.\nIf you're working on data that\nhas a clear structure to it,\nit's going to be much easier to do your tasks.\nIf you're working on CSV files,\nExcel files, those types of things,\nand you're trying to do tasks that deal\nwith their current structure or transform them into\nnew structures that are relatively\nstraightforward like visualization is\nnot going to be too hard.\nLet me give you an example of this.\nI've got some data right here.\nThis is some information\nthat I've extracted from Vanderbilt's annual report.\nI've taken this data and I put it into a CSV file.\nIt's very well-structured.\nI go and insert the CSV file\ninto ChatGPT or Code Interpreter,\nand really quickly it can end up generating\na visualization with almost no effort on my part,\nbecause this is a really easy data set to\nwork with because it's very structured.\nNow, let's contrast that with\nan example where I took the same data but I\ndidn't start from a CSV file,\nI started from the PDF of Vanderbilt's report.\nI had to go and extract the data first.\nThis is what we see in the report.\nThere's all these different pages of data\nand the thing that I'm looking for\nis buried on one of the pages.\nIf you look at the text,\nit's structured maybe to a human,\nbut it's not very structured\nto a Python program\nor Code Interpreter or something else.\nIt's not in a great format\nonce you extract it from the PDF.\nIf you can read\nthe PDF and look at it visually, it's structured,\nbut if you actually look at the underlying

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Zip Files for Automation | Coursera",
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  "sourceTitle": "Zip Files for Automation | Coursera",
  "summary": {
    "text": "Concept: Zip Files for Automation | Coursera:\n\nKernidee: Concept: Zip Files for Automation | Coursera\n\nSummary:\nFocus van deze les:\nWe can always go and upload individual files and download individual files to\n\nWat je echt moet begrijpen:\ncode interpreter, and we can certainly get by that way\n\nHoe je dit stap voor stap toepast:\n1.\n\nWaarom dit belangrijk is: De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.\n\nWat je vooral moet onthouden: Key points:\n- We can always go and upload individual files and download individual files to\n- Wat je echt moet begrijpen:\n- code interpreter, and we can certainly get by that way\n- Hoe je dit stap voor stap toepast:\n- 1."
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        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "We can always go and upload individual files and download individual files to"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "code interpreter, and we can certainly get by that way"
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      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
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        "front": "Herinnering 8",
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        "front": "Herinnering 9",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
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        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
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        "prompt": "Welke kernles hoort het best bij punt 2?",
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          "De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst

explanation_export — 2026-07-09

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  "sourceText": "We can always go and upload individual files and download individual files to\ncode interpreter, and we can certainly get by that way.\nBut one of the wonderful things about code interpreter and the way that it works is\nthat it can actually take zip files, unzip them, work on multiple files at once, and\nautomate entire processes for us, and then zip up the results and\ngive us back multiple results at once, which is way more convenient.\nIt also allows us to do interesting things, like when you have a zip file,\nit can actually have a folder hierarchy inside of it.\nOr we can give additional things or tools or other possibilities,\nbits of python code, anything we want to do to code interpreter.\nBut I'm going to give you a simple example of why an archive is so helpful.\nLet's imagine that you have a series of images, and you want to go and\napply a transformation to them.\nYou want to make them much more stylized, apply some filter to them.\nYou've taken all these images, okay?\nNow, you want to stylize them.\nSo, I'm going to upload an archive full of images to code interpreter.\nBut this could be an archive of any of your files.\nIt could be an archive full of Excel files that you want to combine.\nIt might be an archive full of Excel files, and\nyou want a specific visualization built for every single individual Excel file.\nOr maybe you want to search across those Excel files and filter them for\na subset of rows and then create new Excel files, whatever automation you want to do.\nSo whenever you start thinking about I have multiple files and\nI need to automate some process across them,\nyou want to start thinking about uploading a zip file to code interpreter.\nZip everything up that you're going to perform the operation on, describe\nthe operation and tell it to perform it on the files that are within the zip file.\nSimple automation, super effective.\nSo, I'm going to upload this archive full of images, and I'm going to say,\nplease make these images much more stylized by dramatically\nincreasing the contrast and saturation.\nSo, simple pattern.\nWhenever you need to automate something on a set of files,\nzip them up into an archive and upload the zip.\nIt's basically the archive interaction pattern.\nSo now, what it's going to do is it's going to say, first thing,\nlet's unzip the archive to access the images.\nIt then pulls out each of the individual JPEGs, which were JPEGs that I'd\npulled out of a movie, it then goes through and access provides each of them.\nNow, I could stop and I could download them one by one at this point, but\nthat seems like a lot of work for me, particularly if I've got 100 files or\n200 files.\nSo, instead what I'm going to do is I'm just going to say zip up the files so\nthat I can down

explanation_study_pack — 2026-07-09

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        "back": "Focus van deze les:"
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      {
        "front": "Herinnering 4",
        "back": "We can always go and upload individual files and download individual files to"
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      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "code interpreter, and we can certainly get by that way"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
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        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst

explanation_export — 2026-07-09

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explanation_study_pack — 2026-07-09

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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
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          "Een keuze die het concept verwart met iets anders."
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explanation_export — 2026-07-09

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  "sourceText": "I want to help you gauge the difficulty of\na task that you're about to start with Code Interpreter.\nNow, the reason for this is when you get started,\nyou're going to have all ideas\nof things that you can go and try.\nBut I want you to have a way of understanding\nhow difficult each of\nyour ideas are going to be to accomplish.\nIf you understand two basic things\nthat we're going to talk about,\nyou'll be much better off in terms of gauging\nthe difficulty of accomplishing a particular task.\nThose two things are,\nif you want to know how\ndifficult a particular task is going to be,\nwe want to go and look at\nthe document or data that we're going to work with.\nThe first question we want to ask is\nhow structured or unstructured is that data?\nStructured data is something like a table.\nIf you've got a bunch of tables that you're trying\nto read through and it's all in Excel format,\nthat's a structured format.\nThis is an example here where I'm uploading a CSV file,\nthat is a structured format.\nIt's like a table.\nIt's some very clearly marked format\nwhere you know what all the parts are.\nCSV files, Excel files,\nall of these types of things are very structured.\nIf you're working on data that\nhas a clear structure to it,\nit's going to be much easier to do your tasks.\nIf you're working on CSV files,\nExcel files, those types of things,\nand you're trying to do tasks that deal\nwith their current structure or transform them into\nnew structures that are relatively\nstraightforward like visualization is\nnot going to be too hard.\nLet me give you an example of this.\nI've got some data right here.\nThis is some information\nthat I've extracted from Vanderbilt's annual report.\nI've taken this data and I put it into a CSV file.\nIt's very well-structured.\nI go and insert the CSV file\ninto ChatGPT or Code Interpreter,\nand really quickly it can end up generating\na visualization with almost no effort on my part,\nbecause this is a really easy data set to\nwork with because it's very structured.\nNow, let's contrast that with\nan example where I took the same data but I\ndidn't start from a CSV file,\nI started from the PDF of Vanderbilt's report.\nI had to go and extract the data first.\nThis is what we see in the report.\nThere's all these different pages of data\nand the thing that I'm looking for\nis buried on one of the pages.\nIf you look at the text,\nit's structured maybe to a human,\nbut it's not very structured\nto a Python program\nor Code Interpreter or something else.\nIt's not in a great format\nonce you extract it from the PDF.\nIf you can read\nthe PDF and look at it visually, it's structured,\nbut if you actually look at the underlying text and\nthe structure of the text itself, it's n

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Turning Conversations into Software Utilities | Coursera",
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  "sourceTitle": "Turning Conversations into Software Utilities | Coursera",
  "summary": {
    "text": "Concept: Turning Conversations into Software Utilities | Coursera:\n\nKernidee: Concept: Turning Conversations into Software Utilities | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...\n\nWaarom dit belangrijk is: Wat je echt moet begrijpen:\nPart 2/4] cases that you can then run completely separately from Code Interpreter and you c\n\nKey points:\n- Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...\n\nWat je vooral moet onthouden: - Wat je echt moet begrijpen:\n- Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present..."
  },
  "flashcards": {
    "cards": [
      {
        "front": "Herinnering 1",
        "back": "Concept: Turning Conversations into Software Utilities | Coursera"
      },
      {
        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp... Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 5",
        "back": "Part 2/4] cases that you can then run completely separately from Code Interpreter and you c"
      },
      {
        "front": "Herinnering 6",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 7",
        "back": "Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp..."
      },
      {
        "front": "Herinnering 8",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 9",
        "back": "Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present..."
      },
      {
        "front": "Herinnering 10",
        "back": "Hoe je dit stap voor stap toepast:"
      }
    ]
  },
  "quiz": {
    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het

explanation_export — 2026-07-09

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  "sourceText": "This next capability I'm going to talk about\nis really one that you can only\ntake from start to finish if you know how to\nprogram or you're a software engineer\nor computer scientist.\nBut you can use it in conjunction with somebody else\nwho is really good at those things\nif you aren't a programmer or computer scientist.\nIf you're an organization that has a bunch of\nprogrammers or you have a friend that it's a programmer,\nthis is a way that you could do that.\nNow what is this technique?\nIt's a very exciting one from\nthe perspective of software development.\nOne of the challenges that we have is\nwe have all these little tools\nthat we would like to have to help us out.\nAll day long when I'm working\nand thinking it'd be really nice to have a piece\nof software that did this and\nsimplified this process for me.\nSometimes as a software engineer,\nI'll go and take the time to actually\nwrite the software to do that.\nThe Code Interpreter creates\nan intriguing new possibility where we can\nactually turn a conversation\nwith Code Interpreter into software.\nNow, if you are not a programmer,\nif you can't read the code,\nyou should not go all\nthe way through with this because you have to\nbe able to look at the code\nand know if it's going to work correctly,\nif it's safe to run on your computer.\nIt could delete all the files for all you know,\nif you can't read the code.\nWe 100% know that\nlarge language models can make mistakes,\nand you need to pay attention to\nthe code that comes out of what I'm going to show you,\nand if you can't read it and understand it,\nyou should not proceed.\nYou will need to go find a programmer\nto help the rest of the way.\nBut a programmer at some point,\na human software developer,\nneeds to be involved in\nthe analysis for what I'm going to show you.\nHowever, it's really exciting.\nLet's take a look at what we've got.\nThis is an original conversation that I\nhad where I took a movie\nand I extracted 10 different frames from the movie,\nI then went and display the images.\nI looked at it, I'm having this whole conversation,\nI resize the images and I did a bunch of other things.\nI turned each image into grayscale,\nI increase the contrast by 30%,\nand I turned the images into an animated GIF.\nI also created a PowerPoint presentation\nwith one image per slide.\nNow I thought, wouldn't it be great if I could take\nthis whole process so that I can repeat it?\nNow, I've repeated exactly this type of process for\ncreating tools to help me with\nthe creation of these videos and cataloging them.\nFor example, automatically going and\ntaking my videos and measuring how long they are,\

explanation_study_pack — 2026-07-09

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  "summary": {
    "text": "Concept: Turning Conversations into Software Utilities | Coursera:\n\nKernidee: Concept: Turning Conversations into Software Utilities | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...\n\nWaarom dit belangrijk is: Wat je echt moet begrijpen:\nPart 2/4] cases that you can then run completely separately from Code Interpreter and you c\n\nKey points:\n- Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...\n\nWat je vooral moet onthouden: - Wat je echt moet begrijpen:\n- Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present..."
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        "front": "Herinnering 1",
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        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp... Wat je echt moet begrijpen:"
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        "back": "Part 2/4] cases that you can then run completely separately from Code Interpreter and you c"
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      {
        "front": "Herinnering 6",
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      },
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        "front": "Herinnering 7",
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      },
      {
        "front": "Herinnering 8",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 9",
        "back": "Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present..."
      },
      {
        "front": "Herinnering 10",
        "back": "Hoe je dit stap voor stap toepast:"
      }
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het

explanation_export — 2026-07-09

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  "sourceText": "This next capability I'm going to talk about\nis really one that you can only\ntake from start to finish if you know how to\nprogram or you're a software engineer\nor computer scientist.\nBut you can use it in conjunction with somebody else\nwho is really good at those things\nif you aren't a programmer or computer scientist.\nIf you're an organization that has a bunch of\nprogrammers or you have a friend that it's a programmer,\nthis is a way that you could do that.\nNow what is this technique?\nIt's a very exciting one from\nthe perspective of software development.\nOne of the challenges that we have is\nwe have all these little tools\nthat we would like to have to help us out.\nAll day long when I'm working\nand thinking it'd be really nice to have a piece\nof software that did this and\nsimplified this process for me.\nSometimes as a software engineer,\nI'll go and take the time to actually\nwrite the software to do that.\nThe Code Interpreter creates\nan intriguing new possibility where we can\nactually turn a conversation\nwith Code Interpreter into software.\nNow, if you are not a programmer,\nif you can't read the code,\nyou should not go all\nthe way through with this because you have to\nbe able to look at the code\nand know if it's going to work correctly,\nif it's safe to run on your computer.\nIt could delete all the files for all you know,\nif you can't read the code.\nWe 100% know that\nlarge language models can make mistakes,\nand you need to pay attention to\nthe code that comes out of what I'm going to show you,\nand if you can't read it and understand it,\nyou should not proceed.\nYou will need to go find a programmer\nto help the rest of the way.\nBut a programmer at some point,\na human software developer,\nneeds to be involved in\nthe analysis for what I'm going to show you.\nHowever, it's really exciting.\nLet's take a look at what we've got.\nThis is an original conversation that I\nhad where I took a movie\nand I extracted 10 different frames from the movie,\nI then went and display the images.\nI looked at it, I'm having this whole conversation,\nI resize the images and I did a bunch of other things.\nI turned each image into grayscale,\nI increase the contrast by 30%,\nand I turned the images into an animated GIF.\nI also created a PowerPoint presentation\nwith one image per slide.\nNow I thought, wouldn't it be great if I could take\nthis whole process so that I can repeat it?\nNow, I've repeated exactly this type of process for\ncreating tools to help me with\nthe creation of these videos and cataloging them.\nFor example, automatically going and\ntaking my videos and measuring how long they are

flashcards — 2026-07-09

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-09

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-07-09

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  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-07-09

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Working with Small Documents | Coursera",
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  "summary": {
    "text": "Concept: Working with Small Documents | Coursera:\n\nKernidee: Concept: Working with Small Documents | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well.\n\nWaarom dit belangrijk is: Or to wr...\n\nWat je vooral moet onthouden: Key points:\n- Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well."
  },
  "flashcards": {
    "cards": [
      {
        "front": "Herinnering 1",
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      },
      {
        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr..."
      },
      {
        "front": "Herinnering 5",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 6",
        "back": "Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr..."
      },
      {
        "front": "Herinnering 7",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 8",
        "back": "Part 2/5] ead, it did not go and run Python again. Now, there's two things that that could mean, and it's helpful to know this. One is the information that it needs to do this t..."
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      {
        "front": "Herinnering 9",
        "back": "Hoe je dit stap voor stap toepast:"
      },
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        "front": "Herinnering 10",
        "back": "4. Daarna laat de les zien hoe Now, what does it mean for it to be easy to access? het resultaat of de toepassing afrondt."
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
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        "prompt": "Welke kernles hoort het best bij punt 2?",
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        "answerIndex": 0,
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explanation_export — 2026-07-09

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  "sourceUrl": "https://www.coursera.org/learn/chatgpt-advanced-data-analysis/lecture/fpxOa/getting-information-into-the-conversation",
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  "sourceText": "One of the most important things that you can do with code interpreter to be\neffective, particularly if you want to be effective in getting it to reason well.\nOr to write well or whatever it is is you want it to make sure that it has\neasy access to the knowledge that you're going to need it to reason on or\nuse as the basis of its writing, or\nto do whatever it is to filter, to transform whatever it is.\nNow, the easier it is for it to access that information,\nthe more successful you're going to be in using code interpreter.\nNow, what does it mean for it to be easy to access?\nIf you can see the information here in the conversation,\nyou are very likely going to be successful in whatever knowledge based\ntask you're trying to have GPT Four do through code interpreter.\nSo let me just repeat this, if you can see the information that it's going to\nbuild off of in the conversation, you're much more likely to be successful.\nThis is the simplest, easiest way to try to make sure that the reasoning is sound.\nNow, in this example, with the 1040 that I did a minute ago, I had it go and extract\na bunch of information and then I had it reread and extract additional information.\nAnd part of the reason for this was I didn't see the Identifiers for\nthe questions in the conversation.\nAnd I thought that was going to be something that I wanted based on the idea\nthat I was going to go and talk about different questions or\nask about what checkboxes.\nWell, if I'm going to refer to checkboxes, I'm probably going to need to know\nthe Identifiers form so I can go and reference back into the original form.\nNow, you don't have to do this, but it's often the easiest way to reason about what\ncode interpreter is doing and getting it to do the right thing is to get it to read\nthe information into the conversation.\nNow, there's other tricks that are used in the background to make this happen.\nNow, there's two places that the reading and rereading can happen.\nNow, I want to show you something interesting though, because I think this\nis really helpful to also show you why reading and rereading is powerful.\nSo in the first time that I said read this, we see it pop up this box\nthat's going and getting the information from Python, right?\nIt's using Python to read the PDF and extract the text and\nthen it shows the result here.\nSo one thing that's helpful to note here is it's actually brought\neverything into the conversation.\nNow, this is sort of a tricky thing to know, but the fact that it's read it and\nthen it's put it in here in this result, that means it's available and\nin the conversation, it's possible to have access to it.\nNow, it may not have access to it all at once a

explanation_study_pack — 2026-07-09

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    "text": "Concept: Working with Small Documents:\n\nKernidee: Concept: Working with Small Documents\n\nSummary:\nFocus van deze les:\nI want to help you gauge the difficulty of\n\nWat je echt moet begrijpen:\na task that you're about to start with Code Interpreter\n\nHoe je dit stap voor stap toepast:\n1.\n\nWaarom dit belangrijk is: De uitleg opent met I want to help you gauge the difficulty of.\n\nWat je vooral moet onthouden: Key points:\n- I want to help you gauge the difficulty of\n- Wat je echt moet begrijpen:\n- a task that you're about to start with Code Interpreter\n- Hoe je dit stap voor stap toepast:\n- 1."
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        "front": "Herinnering 4",
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        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
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        "back": "a task that you're about to start with Code Interpreter"
      },
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        "back": "Hoe je dit stap voor stap toepast:"
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        "front": "Herinnering 8",
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        "front": "Herinnering 9",
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      {
        "front": "Herinnering 10",
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        "prompt": "Welke kernles hoort het best bij punt 1?",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
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        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
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          "De uitleg opent met I want to help you gauge the difficulty of.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
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        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
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        "prompt": "Welke kernles hoort het best bij punt 3?",
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          "Key points:\n- I want to help you gauge the difficulty of\n- Wat je echt moet begrijpen:\n- a task that you're about to start with Code Interpreter\n- Hoe je dit stap voor stap toepast:\n-

explanation_export — 2026-07-09

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  "sourceText": "I want to help you gauge the difficulty of\na task that you're about to start with Code Interpreter.\nNow, the reason for this is when you get started,\nyou're going to have all ideas\nof things that you can go and try.\nBut I want you to have a way of understanding\nhow difficult each of\nyour ideas are going to be to accomplish.\nIf you understand two basic things\nthat we're going to talk about,\nyou'll be much better off in terms of gauging\nthe difficulty of accomplishing a particular task.\nThose two things are,\nif you want to know how\ndifficult a particular task is going to be,\nwe want to go and look at\nthe document or data that we're going to work with.\nThe first question we want to ask is\nhow structured or unstructured is that data?\nStructured data is something like a table.\nIf you've got a bunch of tables that you're trying\nto read through and it's all in Excel format,\nthat's a structured format.\nThis is an example here where I'm uploading a CSV file,\nthat is a structured format.\nIt's like a table.\nIt's some very clearly marked format\nwhere you know what all the parts are.\nCSV files, Excel files,\nall of these types of things are very structured.\nIf you're working on data that\nhas a clear structure to it,\nit's going to be much easier to do your tasks.\nIf you're working on CSV files,\nExcel files, those types of things,\nand you're trying to do tasks that deal\nwith their current structure or transform them into\nnew structures that are relatively\nstraightforward like visualization is\nnot going to be too hard.\nLet me give you an example of this.\nI've got some data right here.\nThis is some information\nthat I've extracted from Vanderbilt's annual report.\nI've taken this data and I put it into a CSV file.\nIt's very well-structured.\nI go and insert the CSV file\ninto ChatGPT or Code Interpreter,\nand really quickly it can end up generating\na visualization with almost no effort on my part,\nbecause this is a really easy data set to\nwork with because it's very structured.\nNow, let's contrast that with\nan example where I took the same data but I\ndidn't start from a CSV file,\nI started from the PDF of Vanderbilt's report.\nI had to go and extract the data first.\nThis is what we see in the report.\nThere's all these different pages of data\nand the thing that I'm looking for\nis buried on one of the pages.\nIf you look at the text,\nit's structured maybe to a human,\nbut it's not very structured\nto a Python program\nor Code Interpreter or something else.\nIt's not in a great format\nonce you extract it from the PDF.\nIf you can read\nthe PDF and look at it visually, it's structured,\nbut if you actually look at the underlying text and\nthe structure of the text itself, it's not,\nand it's not very clear wh

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Turning Conversations into Software Utilities | Coursera",
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    "text": "Concept: Turning Conversations into Software Utilities | Coursera:\n\nKernidee: Concept: Turning Conversations into Software Utilities | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...\n\nWaarom dit belangrijk is: Wat je echt moet begrijpen:\nPart 2/4] cases that you can then run completely separately from Code Interpreter and you c\n\nKey points:\n- Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...\n\nWat je vooral moet onthouden: - Wat je echt moet begrijpen:\n- Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present..."
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        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp... Wat je echt moet begrijpen:"
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        "front": "Herinnering 8",
        "back": "Wat je echt moet begrijpen:"
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        "back": "Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present..."
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explanation_export — 2026-07-09

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  "sourceText": "This next capability I'm going to talk about\nis really one that you can only\ntake from start to finish if you know how to\nprogram or you're a software engineer\nor computer scientist.\nBut you can use it in conjunction with somebody else\nwho is really good at those things\nif you aren't a programmer or computer scientist.\nIf you're an organization that has a bunch of\nprogrammers or you have a friend that it's a programmer,\nthis is a way that you could do that.\nNow what is this technique?\nIt's a very exciting one from\nthe perspective of software development.\nOne of the challenges that we have is\nwe have all these little tools\nthat we would like to have to help us out.\nAll day long when I'm working\nand thinking it'd be really nice to have a piece\nof software that did this and\nsimplified this process for me.\nSometimes as a software engineer,\nI'll go and take the time to actually\nwrite the software to do that.\nThe Code Interpreter creates\nan intriguing new possibility where we can\nactually turn a conversation\nwith Code Interpreter into software.\nNow, if you are not a programmer,\nif you can't read the code,\nyou should not go all\nthe way through with this because you have to\nbe able to look at the code\nand know if it's going to work correctly,\nif it's safe to run on your computer.\nIt could delete all the files for all you know,\nif you can't read the code.\nWe 100% know that\nlarge language models can make mistakes,\nand you need to pay attention to\nthe code that comes out of what I'm going to show you,\nand if you can't read it and understand it,\nyou should not proceed.\nYou will need to go find a programmer\nto help the rest of the way.\nBut a programmer at some point,\na human software developer,\nneeds to be involved in\nthe analysis for what I'm going to show you.\nHowever, it's really exciting.\nLet's take a look at what we've got.\nThis is an original conversation that I\nhad where I took a movie\nand I extracted 10 different frames from the movie,\nI then went and display the images.\nI looked at it, I'm having this whole conversation,\nI resize the images and I did a bunch of other things.\nI turned each image into grayscale,\nI increase the contrast by 30%,\nand I turned the images into an animated GIF.\nI also created a PowerPoint presentation\nwith one image per slide.\nNow I thought, wouldn't it be great if I could take\nthis whole process so that I can repeat it?\nNow, I've repeated exactly this type of process for\ncreating tools to help me with\nthe creation of these videos and cataloging them.\nFor example, automatically going and\ntaking my videos and measuring how long they are

explanation_study_pack — 2026-07-09

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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
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        "prompt": "Welke kernles hoort het best bij punt 2?",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
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          "Een keuze die het concept verwart met iets anders."
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explanation_export — 2026-07-09

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  "sourceText": "I want to help you gauge the difficulty of\na task that you're about to start with Code Interpreter.\nNow, the reason for this is when you get started,\nyou're going to have all ideas\nof things that you can go and try.\nBut I want you to have a way of understanding\nhow difficult each of\nyour ideas are going to be to accomplish.\nIf you understand two basic things\nthat we're going to talk about,\nyou'll be much better off in terms of gauging\nthe difficulty of accomplishing a particular task.\nThose two things are,\nif you want to know how\ndifficult a particular task is going to be,\nwe want to go and look at\nthe document or data that we're going to work with.\nThe first question we want to ask is\nhow structured or unstructured is that data?\nStructured data is something like a table.\nIf you've got a bunch of tables that you're trying\nto read through and it's all in Excel format,\nthat's a structured format.\nThis is an example here where I'm uploading a CSV file,\nthat is a structured format.\nIt's like a table.\nIt's some very clearly marked format\nwhere you know what all the parts are.\nCSV files, Excel files,\nall of these types of things are very structured.\nIf you're working on data that\nhas a clear structure to it,\nit's going to be much easier to do your tasks.\nIf you're working on CSV files,\nExcel files, those types of things,\nand you're trying to do tasks that deal\nwith their current structure or transform them into\nnew structures that are relatively\nstraightforward like visualization is\nnot going to be too hard.\nLet me give you an example of this.\nI've got some data right here.\nThis is some information\nthat I've extracted from Vanderbilt's annual report.\nI've taken this data and I put it into a CSV file.\nIt's very well-structured.\nI go and insert the CSV file\ninto ChatGPT or Code Interpreter,\nand really quickly it can end up generating\na visualization with almost no effort on my part,\nbecause this is a really easy data set to\nwork with because it's very structured.\nNow, let's contrast that with\nan example where I took the same data but I\ndidn't start from a CSV file,\nI started from the PDF of Vanderbilt's report.\nI had to go and extract the data first.\nThis is what we see in the report.\nThere's all these different pages of data\nand the thing that I'm looking for\nis buried on one of the pages.\nIf you look at the text,\nit's structured maybe to a human,\nbut it's not very structured\nto a Python program\nor Code Interpreter or something else.\nIt's not in a great format\nonce you extract it from the PDF.\nIf you can read\nthe PDF and look at it visually, it's structured,\nbut if you actually look at the underlying text and\nthe structure of the text itself, it's n

explanation_study_pack — 2026-07-09

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  "summary": {
    "text": "Concept: Working with Small Documents | Coursera:\n\nKernidee: Concept: Working with Small Documents | Coursera\n\nSummary:\nFocus van deze les:\nI want to help you gauge the difficulty of\n\nWat je echt moet begrijpen:\na task that you're about to start with Code Interpreter\n\nHoe je dit stap voor stap toepast:\n1.\n\nWaarom dit belangrijk is: De uitleg opent met I want to help you gauge the difficulty of.\n\nWat je vooral moet onthouden: Key points:\n- I want to help you gauge the difficulty of\n- Wat je echt moet begrijpen:\n- a task that you're about to start with Code Interpreter\n- Hoe je dit stap voor stap toepast:\n- 1."
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  "flashcards": {
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      {
        "front": "Herinnering 1",
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        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "I want to help you gauge the difficulty of"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "a task that you're about to start with Code Interpreter"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 8",
        "back": "1. De uitleg opent met I want to help you gauge the difficulty of."
      },
      {
        "front": "Herinnering 9",
        "back": "Key points:"
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      {
        "front": "Herinnering 10",
        "back": "I want to help you gauge the difficulty of"
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  "quiz": {
    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
        "choices": [
          "De uitleg opent met I want to help you gauge the difficulty of.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 3?",
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          "Key points:\n- I want to help you gauge the difficulty of\n- Wat je echt moet begrijpen:\n- a task that you're about to st

explanation_export — 2026-07-09

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  "sourceText": "I want to help you gauge the difficulty of\na task that you're about to start with Code Interpreter.\nNow, the reason for this is when you get started,\nyou're going to have all ideas\nof things that you can go and try.\nBut I want you to have a way of understanding\nhow difficult each of\nyour ideas are going to be to accomplish.\nIf you understand two basic things\nthat we're going to talk about,\nyou'll be much better off in terms of gauging\nthe difficulty of accomplishing a particular task.\nThose two things are,\nif you want to know how\ndifficult a particular task is going to be,\nwe want to go and look at\nthe document or data that we're going to work with.\nThe first question we want to ask is\nhow structured or unstructured is that data?\nStructured data is something like a table.\nIf you've got a bunch of tables that you're trying\nto read through and it's all in Excel format,\nthat's a structured format.\nThis is an example here where I'm uploading a CSV file,\nthat is a structured format.\nIt's like a table.\nIt's some very clearly marked format\nwhere you know what all the parts are.\nCSV files, Excel files,\nall of these types of things are very structured.\nIf you're working on data that\nhas a clear structure to it,\nit's going to be much easier to do your tasks.\nIf you're working on CSV files,\nExcel files, those types of things,\nand you're trying to do tasks that deal\nwith their current structure or transform them into\nnew structures that are relatively\nstraightforward like visualization is\nnot going to be too hard.\nLet me give you an example of this.\nI've got some data right here.\nThis is some information\nthat I've extracted from Vanderbilt's annual report.\nI've taken this data and I put it into a CSV file.\nIt's very well-structured.\nI go and insert the CSV file\ninto ChatGPT or Code Interpreter,\nand really quickly it can end up generating\na visualization with almost no effort on my part,\nbecause this is a really easy data set to\nwork with because it's very structured.\nNow, let's contrast that with\nan example where I took the same data but I\ndidn't start from a CSV file,\nI started from the PDF of Vanderbilt's report.\nI had to go and extract the data first.\nThis is what we see in the report.\nThere's all these different pages of data\nand the thing that I'm looking for\nis buried on one of the pages.\nIf you look at the text,\nit's structured maybe to a human,\nbut it's not very structured\nto a Python program\nor Code Interpreter or something else.\nIt's not in a great format\nonce you extract it from the PDF.\nIf you can read\nthe PDF and look at it visually, it's structured,\nbut if you actually look at the underlying text and\nthe structure of the text it

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Turning Conversations into Software Utilities | Coursera",
  "language": "Dutch",
  "level": "beginner",
  "lessonType": "video_lesson",
  "sourceUrl": "https://www.coursera.org/learn/chatgpt-advanced-data-analysis/lecture/PQsfz/turning-conversations-into-software-utilities",
  "sourceTitle": "Turning Conversations into Software Utilities | Coursera",
  "summary": {
    "text": "Concept: Turning Conversations into Software Utilities | Coursera:\n\nKernidee: Concept: Turning Conversations into Software Utilities | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...\n\nWaarom dit belangrijk is: Wat je echt moet begrijpen:\nPart 2/4] cases that you can then run completely separately from Code Interpreter and you c\n\nKey points:\n- Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp...\n\nWat je vooral moet onthouden: - Wat je echt moet begrijpen:\n- Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present..."
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        "front": "Herinnering 1",
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        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp... Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 5",
        "back": "Part 2/4] cases that you can then run completely separately from Code Interpreter and you c"
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      {
        "front": "Herinnering 6",
        "back": "Key points:"
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        "front": "Herinnering 7",
        "back": "Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp..."
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      {
        "front": "Herinnering 8",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 9",
        "back": "Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present..."
      },
      {
        "front": "Herinnering 10",
        "back": "Hoe je dit stap voor stap toepast:"
      }
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het

explanation_export — 2026-07-09

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  "sourceText": "This next capability I'm going to talk about\nis really one that you can only\ntake from start to finish if you know how to\nprogram or you're a software engineer\nor computer scientist.\nBut you can use it in conjunction with somebody else\nwho is really good at those things\nif you aren't a programmer or computer scientist.\nIf you're an organization that has a bunch of\nprogrammers or you have a friend that it's a programmer,\nthis is a way that you could do that.\nNow what is this technique?\nIt's a very exciting one from\nthe perspective of software development.\nOne of the challenges that we have is\nwe have all these little tools\nthat we would like to have to help us out.\nAll day long when I'm working\nand thinking it'd be really nice to have a piece\nof software that did this and\nsimplified this process for me.\nSometimes as a software engineer,\nI'll go and take the time to actually\nwrite the software to do that.\nThe Code Interpreter creates\nan intriguing new possibility where we can\nactually turn a conversation\nwith Code Interpreter into software.\nNow, if you are not a programmer,\nif you can't read the code,\nyou should not go all\nthe way through with this because you have to\nbe able to look at the code\nand know if it's going to work correctly,\nif it's safe to run on your computer.\nIt could delete all the files for all you know,\nif you can't read the code.\nWe 100% know that\nlarge language models can make mistakes,\nand you need to pay attention to\nthe code that comes out of what I'm going to show you,\nand if you can't read it and understand it,\nyou should not proceed.\nYou will need to go find a programmer\nto help the rest of the way.\nBut a programmer at some point,\na human software developer,\nneeds to be involved in\nthe analysis for what I'm going to show you.\nHowever, it's really exciting.\nLet's take a look at what we've got.\nThis is an original conversation that I\nhad where I took a movie\nand I extracted 10 different frames from the movie,\nI then went and display the images.\nI looked at it, I'm having this whole conversation,\nI resize the images and I did a bunch of other things.\nI turned each image into grayscale,\nI increase the contrast by 30%,\nand I turned the images into an animated GIF.\nI also created a PowerPoint presentation\nwith one image per slide.\nNow I thought, wouldn't it be great if I could take\nthis whole process so that I can repeat it?\nNow, I've repeated exactly this type of process for\ncreating tools to help me with\nthe creation of these videos and cataloging them.\nFor example, automatically going and\ntaking my videos and measuring how lon

flashcards — 2026-07-09

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  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-09

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
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cheat_sheet — 2026-07-09

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  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
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}

summary — 2026-07-09

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Getting Information Into the Conversation | Coursera",
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  "lessonType": "video_lesson",
  "sourceUrl": "https://www.coursera.org/learn/chatgpt-advanced-data-analysis/lecture/fpxOa/getting-information-into-the-conversation",
  "sourceTitle": "Getting Information Into the Conversation | Coursera",
  "summary": {
    "text": "Concept: Getting Information Into the Conversation | Coursera:\n\nKernidee: Concept: Getting Information Into the Conversation | Coursera\n\nSummary:\nFocus van deze les:\nPart 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well.\n\nWaarom dit belangrijk is: Or to wr...\n\nWat je vooral moet onthouden: Key points:\n- Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well."
  },
  "flashcards": {
    "cards": [
      {
        "front": "Herinnering 1",
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      },
      {
        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr..."
      },
      {
        "front": "Herinnering 5",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 6",
        "back": "Part 1/5] One of the most important things that you can do with code interpreter to be effective, particularly if you want to be effective in getting it to reason well. Or to wr..."
      },
      {
        "front": "Herinnering 7",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 8",
        "back": "Part 2/5] ead, it did not go and run Python again. Now, there's two things that that could mean, and it's helpful to know this. One is the information that it needs to do this t..."
      },
      {
        "front": "Herinnering 9",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 10",
        "back": "4. Daarna laat de les zien hoe Now, what does it mean for it to be easy to access? het resultaat of de toepassing afrondt."
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        "prompt": "Welke kernles hoort het best bij punt 1?",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
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        "prompt": "Welke kernles hoort het best bij punt 2?",
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          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verw

explanation_export — 2026-07-09

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  "sourceText": "One of the most important things that you can do with code interpreter to be\neffective, particularly if you want to be effective in getting it to reason well.\nOr to write well or whatever it is is you want it to make sure that it has\neasy access to the knowledge that you're going to need it to reason on or\nuse as the basis of its writing, or\nto do whatever it is to filter, to transform whatever it is.\nNow, the easier it is for it to access that information,\nthe more successful you're going to be in using code interpreter.\nNow, what does it mean for it to be easy to access?\nIf you can see the information here in the conversation,\nyou are very likely going to be successful in whatever knowledge based\ntask you're trying to have GPT Four do through code interpreter.\nSo let me just repeat this, if you can see the information that it's going to\nbuild off of in the conversation, you're much more likely to be successful.\nThis is the simplest, easiest way to try to make sure that the reasoning is sound.\nNow, in this example, with the 1040 that I did a minute ago, I had it go and extract\na bunch of information and then I had it reread and extract additional information.\nAnd part of the reason for this was I didn't see the Identifiers for\nthe questions in the conversation.\nAnd I thought that was going to be something that I wanted based on the idea\nthat I was going to go and talk about different questions or\nask about what checkboxes.\nWell, if I'm going to refer to checkboxes, I'm probably going to need to know\nthe Identifiers form so I can go and reference back into the original form.\nNow, you don't have to do this, but it's often the easiest way to reason about what\ncode interpreter is doing and getting it to do the right thing is to get it to read\nthe information into the conversation.\nNow, there's other tricks that are used in the background to make this happen.\nNow, there's two places that the reading and rereading can happen.\nNow, I want to show you something interesting though, because I think this\nis really helpful to also show you why reading and rereading is powerful.\nSo in the first time that I said read this, we see it pop up this box\nthat's going and getting the information from Python, right?\nIt's using Python to read the PDF and extract the text and\nthen it shows the result here.\nSo one thing that's helpful to note here is it's actually brought\neverything into the conversation.\nNow, this is sort of a tricky thing to know, but the fact that it's read it and\nthen it's put it in here in this result, that means it's available and\nin the conversation, it's possible to have access to it.\nNow, it

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Working with Small Documents | Coursera",
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    "text": "Concept: Working with Small Documents | Coursera:\n\nKernidee: Concept: Working with Small Documents | Coursera\n\nSummary:\nFocus van deze les:\nI want to help you gauge the difficulty of\n\nWat je echt moet begrijpen:\na task that you're about to start with Code Interpreter\n\nHoe je dit stap voor stap toepast:\n1.\n\nWaarom dit belangrijk is: De uitleg opent met I want to help you gauge the difficulty of.\n\nWat je vooral moet onthouden: Key points:\n- I want to help you gauge the difficulty of\n- Wat je echt moet begrijpen:\n- a task that you're about to start with Code Interpreter\n- Hoe je dit stap voor stap toepast:\n- 1."
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  "flashcards": {
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      {
        "front": "Herinnering 1",
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      },
      {
        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "I want to help you gauge the difficulty of"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "a task that you're about to start with Code Interpreter"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 8",
        "back": "1. De uitleg opent met I want to help you gauge the difficulty of."
      },
      {
        "front": "Herinnering 9",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 10",
        "back": "I want to help you gauge the difficulty of"
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  },
  "quiz": {
    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
        "choices": [
          "De uitleg opent met I want to help you gauge the difficulty of.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 3?",
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          "Key points:\n- I want to help you gauge the difficulty of\n- Wat je echt moet begrijpen:\n- a task that you're about to st

explanation_export — 2026-07-09

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  "sourceText": "I want to help you gauge the difficulty of\na task that you're about to start with Code Interpreter.\nNow, the reason for this is when you get started,\nyou're going to have all ideas\nof things that you can go and try.\nBut I want you to have a way of understanding\nhow difficult each of\nyour ideas are going to be to accomplish.\nIf you understand two basic things\nthat we're going to talk about,\nyou'll be much better off in terms of gauging\nthe difficulty of accomplishing a particular task.\nThose two things are,\nif you want to know how\ndifficult a particular task is going to be,\nwe want to go and look at\nthe document or data that we're going to work with.\nThe first question we want to ask is\nhow structured or unstructured is that data?\nStructured data is something like a table.\nIf you've got a bunch of tables that you're trying\nto read through and it's all in Excel format,\nthat's a structured format.\nThis is an example here where I'm uploading a CSV file,\nthat is a structured format.\nIt's like a table.\nIt's some very clearly marked format\nwhere you know what all the parts are.\nCSV files, Excel files,\nall of these types of things are very structured.\nIf you're working on data that\nhas a clear structure to it,\nit's going to be much easier to do your tasks.\nIf you're working on CSV files,\nExcel files, those types of things,\nand you're trying to do tasks that deal\nwith their current structure or transform them into\nnew structures that are relatively\nstraightforward like visualization is\nnot going to be too hard.\nLet me give you an example of this.\nI've got some data right here.\nThis is some information\nthat I've extracted from Vanderbilt's annual report.\nI've taken this data and I put it into a CSV file.\nIt's very well-structured.\nI go and insert the CSV file\ninto ChatGPT or Code Interpreter,\nand really quickly it can end up generating\na visualization with almost no effort on my part,\nbecause this is a really easy data set to\nwork with because it's very structured.\nNow, let's contrast that with\nan example where I took the same data but I\ndidn't start from a CSV file,\nI started from the PDF of Vanderbilt's report.\nI had to go and extract the data first.\nThis is what we see in the report.\nThere's all these different pages of data\nand the thing that I'm looking for\nis buried on one of the pages.\nIf you look at the text,\nit's structured maybe to a human,\nbut it's not very structured\nto a Python program\nor Code Interpreter or something else.\nIt's not in a great format\nonce you extract it from the PDF.\nIf you can read\nthe PDF and look at it visually, it's structured,\nbut if you actually look at the underlying text and\nthe structure of the text itself, it's

explanation_study_pack — 2026-07-09

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        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
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        "front": "Herinnering 4",
        "back": "I want to help you gauge the difficulty of"
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      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "a task that you're about to start with Code Interpreter"
      },
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        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 8",
        "back": "1. De uitleg opent met I want to help you gauge the difficulty of."
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      {
        "front": "Herinnering 9",
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      },
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
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        "prompt": "Welke kernles hoort het best bij punt 2?",
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          "De uitleg opent met I want to help you gauge the difficulty of.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
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          "Key points:\n- I want to help you gauge the difficulty of\n- Wat je echt moet begrijpen:\n- a task that you're about to st

explanation_export — 2026-07-09

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  "sourceText": "I want to help you gauge the difficulty of\na task that you're about to start with Code Interpreter.\nNow, the reason for this is when you get started,\nyou're going to have all ideas\nof things that you can go and try.\nBut I want you to have a way of understanding\nhow difficult each of\nyour ideas are going to be to accomplish.\nIf you understand two basic things\nthat we're going to talk about,\nyou'll be much better off in terms of gauging\nthe difficulty of accomplishing a particular task.\nThose two things are,\nif you want to know how\ndifficult a particular task is going to be,\nwe want to go and look at\nthe document or data that we're going to work with.\nThe first question we want to ask is\nhow structured or unstructured is that data?\nStructured data is something like a table.\nIf you've got a bunch of tables that you're trying\nto read through and it's all in Excel format,\nthat's a structured format.\nThis is an example here where I'm uploading a CSV file,\nthat is a structured format.\nIt's like a table.\nIt's some very clearly marked format\nwhere you know what all the parts are.\nCSV files, Excel files,\nall of these types of things are very structured.\nIf you're working on data that\nhas a clear structure to it,\nit's going to be much easier to do your tasks.\nIf you're working on CSV files,\nExcel files, those types of things,\nand you're trying to do tasks that deal\nwith their current structure or transform them into\nnew structures that are relatively\nstraightforward like visualization is\nnot going to be too hard.\nLet me give you an example of this.\nI've got some data right here.\nThis is some information\nthat I've extracted from Vanderbilt's annual report.\nI've taken this data and I put it into a CSV file.\nIt's very well-structured.\nI go and insert the CSV file\ninto ChatGPT or Code Interpreter,\nand really quickly it can end up generating\na visualization with almost no effort on my part,\nbecause this is a really easy data set to\nwork with because it's very structured.\nNow, let's contrast that with\nan example where I took the same data but I\ndidn't start from a CSV file,\nI started from the PDF of Vanderbilt's report.\nI had to go and extract the data first.\nThis is what we see in the report.\nThere's all these different pages of data\nand the thing that I'm looking for\nis buried on one of the pages.\nIf you look at the text,\nit's structured maybe to a human,\nbut it's not very structured\nto a Python program\nor Code Interpreter or something else.\nIt's not in a great format\nonce you extract it from the PDF.\nIf you can read\nthe PDF and look at it visually, it's structured,\nbut if you actually look at the underlying text and\nthe structure of the text itself, it's

flashcards — 2026-07-09

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  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-09

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
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      "prompt": "Welke kernles hoort het best bij punt 2?",
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        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
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cheat_sheet — 2026-07-09

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    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
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}

summary — 2026-07-09

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Turning Conversations into Software Utilities | Coursera",
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  "sourceTitle": "Turning Conversations into Software Utilities | Coursera",
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        "front": "Herinnering 1",
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        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp... Wat je echt moet begrijpen:"
      },
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        "front": "Herinnering 5",
        "back": "Part 2/4] cases that you can then run completely separately from Code Interpreter and you c"
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        "front": "Herinnering 6",
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        "front": "Herinnering 7",
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      {
        "front": "Herinnering 8",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 9",
        "back": "Part 2/4] cases that you can then run completely separately from Code Interpreter and you can even have it call out to OpenAI's APIs to replace the part where GPT-4 was present..."
      },
      {
        "front": "Herinnering 10",
        "back": "Hoe je dit stap voor stap toepast:"
      }
    ]
  },
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    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
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        "answerIndex": 0,
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explanation_export — 2026-07-09

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  "sourceText": "This next capability I'm going to talk about\nis really one that you can only\ntake from start to finish if you know how to\nprogram or you're a software engineer\nor computer scientist.\nBut you can use it in conjunction with somebody else\nwho is really good at those things\nif you aren't a programmer or computer scientist.\nIf you're an organization that has a bunch of\nprogrammers or you have a friend that it's a programmer,\nthis is a way that you could do that.\nNow what is this technique?\nIt's a very exciting one from\nthe perspective of software development.\nOne of the challenges that we have is\nwe have all these little tools\nthat we would like to have to help us out.\nAll day long when I'm working\nand thinking it'd be really nice to have a piece\nof software that did this and\nsimplified this process for me.\nSometimes as a software engineer,\nI'll go and take the time to actually\nwrite the software to do that.\nThe Code Interpreter creates\nan intriguing new possibility where we can\nactually turn a conversation\nwith Code Interpreter into software.\nNow, if you are not a programmer,\nif you can't read the code,\nyou should not go all\nthe way through with this because you have to\nbe able to look at the code\nand know if it's going to work correctly,\nif it's safe to run on your computer.\nIt could delete all the files for all you know,\nif you can't read the code.\nWe 100% know that\nlarge language models can make mistakes,\nand you need to pay attention to\nthe code that comes out of what I'm going to show you,\nand if you can't read it and understand it,\nyou should not proceed.\nYou will need to go find a programmer\nto help the rest of the way.\nBut a programmer at some point,\na human software developer,\nneeds to be involved in\nthe analysis for what I'm going to show you.\nHowever, it's really exciting.\nLet's take a look at what we've got.\nThis is an original conversation that I\nhad where I took a movie\nand I extracted 10 different frames from the movie,\nI then went and display the images.\nI looked at it, I'm having this whole conversation,\nI resize the images and I did a bunch of other things.\nI turned each image into grayscale,\nI increase the contrast by 30%,\nand I turned the images into an animated GIF.\nI also created a PowerPoint presentation\nwith one image per slide.\nNow I thought, wouldn't it be great if I could take\nthis whole process so that I can repeat it?\nNow, I've repeated exactly this type of process for\ncreating tools to help me with\nthe creation of these videos and cataloging them.\nFor example, automatically going and\ntaking my videos and measuring how long they are

explanation_study_pack — 2026-07-09

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        "front": "Herinnering 1",
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        "back": "Summary:"
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      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
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      {
        "front": "Herinnering 4",
        "back": "Part 1/4] This next capability I'm going to talk about is really one that you can only take from start to finish if you know how to program or you're a software engineer or comp... Wat je echt moet begrijpen:"
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        "front": "Herinnering 8",
        "back": "Wat je echt moet begrijpen:"
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      },
      {
        "front": "Herinnering 10",
        "back": "Hoe je dit stap voor stap toepast:"
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
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          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het

explanation_export — 2026-07-09

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  "sourceText": "This next capability I'm going to talk about\nis really one that you can only\ntake from start to finish if you know how to\nprogram or you're a software engineer\nor computer scientist.\nBut you can use it in conjunction with somebody else\nwho is really good at those things\nif you aren't a programmer or computer scientist.\nIf you're an organization that has a bunch of\nprogrammers or you have a friend that it's a programmer,\nthis is a way that you could do that.\nNow what is this technique?\nIt's a very exciting one from\nthe perspective of software development.\nOne of the challenges that we have is\nwe have all these little tools\nthat we would like to have to help us out.\nAll day long when I'm working\nand thinking it'd be really nice to have a piece\nof software that did this and\nsimplified this process for me.\nSometimes as a software engineer,\nI'll go and take the time to actually\nwrite the software to do that.\nThe Code Interpreter creates\nan intriguing new possibility where we can\nactually turn a conversation\nwith Code Interpreter into software.\nNow, if you are not a programmer,\nif you can't read the code,\nyou should not go all\nthe way through with this because you have to\nbe able to look at the code\nand know if it's going to work correctly,\nif it's safe to run on your computer.\nIt could delete all the files for all you know,\nif you can't read the code.\nWe 100% know that\nlarge language models can make mistakes,\nand you need to pay attention to\nthe code that comes out of what I'm going to show you,\nand if you can't read it and understand it,\nyou should not proceed.\nYou will need to go find a programmer\nto help the rest of the way.\nBut a programmer at some point,\na human software developer,\nneeds to be involved in\nthe analysis for what I'm going to show you.\nHowever, it's really exciting.\nLet's take a look at what we've got.\nThis is an original conversation that I\nhad where I took a movie\nand I extracted 10 different frames from the movie,\nI then went and display the images.\nI looked at it, I'm having this whole conversation,\nI resize the images and I did a bunch of other things.\nI turned each image into grayscale,\nI increase the contrast by 30%,\nand I turned the images into an animated GIF.\nI also created a PowerPoint presentation\nwith one image per slide.\nNow I thought, wouldn't it be great if I could take\nthis whole process so that I can repeat it?\nNow, I've repeated exactly this type of process for\ncreating tools to help me with\nthe creation of these videos and cataloging them.\nFor example, automatically going and\ntaking my videos and measuring how long they are,\

flashcards — 2026-07-09

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      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-07-09

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
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cheat_sheet — 2026-07-09

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    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
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summary — 2026-07-09

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  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Zip Files for Automation | Coursera",
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  "sourceUrl": "https://www.coursera.org/learn/chatgpt-advanced-data-analysis/lecture/XpI2t/zip-files-for-automation",
  "sourceTitle": "Zip Files for Automation | Coursera",
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    "text": "Concept: Zip Files for Automation | Coursera:\n\nKernidee: Concept: Zip Files for Automation | Coursera\n\nSummary:\nFocus van deze les:\nWe can always go and upload individual files and download individual files to\n\nWat je echt moet begrijpen:\ncode interpreter, and we can certainly get by that way\n\nHoe je dit stap voor stap toepast:\n1.\n\nWaarom dit belangrijk is: De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.\n\nWat je vooral moet onthouden: Key points:\n- We can always go and upload individual files and download individual files to\n- Wat je echt moet begrijpen:\n- code interpreter, and we can certainly get by that way\n- Hoe je dit stap voor stap toepast:\n- 1."
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        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "We can always go and upload individual files and download individual files to"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 6",
        "back": "code interpreter, and we can certainly get by that way"
      },
      {
        "front": "Herinnering 7",
        "back": "Hoe je dit stap voor stap toepast:"
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        "front": "Herinnering 8",
        "back": "1. De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and."
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        "front": "Herinnering 9",
        "back": "Key points:"
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
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          "De uitleg opent met And so it's a useful tool for organizing the input that you're giving it and.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
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        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst

explanation_export — 2026-07-09

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  "sourceText": "We can always go and upload individual files and download individual files to\ncode interpreter, and we can certainly get by that way.\nBut one of the wonderful things about code interpreter and the way that it works is\nthat it can actually take zip files, unzip them, work on multiple files at once, and\nautomate entire processes for us, and then zip up the results and\ngive us back multiple results at once, which is way more convenient.\nIt also allows us to do interesting things, like when you have a zip file,\nit can actually have a folder hierarchy inside of it.\nOr we can give additional things or tools or other possibilities,\nbits of python code, anything we want to do to code interpreter.\nBut I'm going to give you a simple example of why an archive is so helpful.\nLet's imagine that you have a series of images, and you want to go and\napply a transformation to them.\nYou want to make them much more stylized, apply some filter to them.\nYou've taken all these images, okay?\nNow, you want to stylize them.\nSo, I'm going to upload an archive full of images to code interpreter.\nBut this could be an archive of any of your files.\nIt could be an archive full of Excel files that you want to combine.\nIt might be an archive full of Excel files, and\nyou want a specific visualization built for every single individual Excel file.\nOr maybe you want to search across those Excel files and filter them for\na subset of rows and then create new Excel files, whatever automation you want to do.\nSo whenever you start thinking about I have multiple files and\nI need to automate some process across them,\nyou want to start thinking about uploading a zip file to code interpreter.\nZip everything up that you're going to perform the operation on, describe\nthe operation and tell it to perform it on the files that are within the zip file.\nSimple automation, super effective.\nSo, I'm going to upload this archive full of images, and I'm going to say,\nplease make these images much more stylized by dramatically\nincreasing the contrast and saturation.\nSo, simple pattern.\nWhenever you need to automate something on a set of files,\nzip them up into an archive and upload the zip.\nIt's basically the archive interaction pattern.\nSo now, what it's going to do is it's going to say, first thing,\nlet's unzip the archive to access the images.\nIt then pulls out each of the individual JPEGs, which were JPEGs that I'd\npulled out of a movie, it then goes through and access provides each of them.\nNow, I could stop and I could download them one by one at this point, but\nthat seems like a lot of work for me, particularly if I've got 100 files or\n200 files.\nSo, instead what I'm going to do is I'm just going to say zip up the files so\nthat I can down

explanation_study_pack — 2026-07-09

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  "conceptTitle": "Reactive vs. Deliberative Agents in the Real World | Coursera",
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  "sourceTitle": "Reactive vs. Deliberative Agents in the Real World | Coursera",
  "summary": {
    "text": "Concept: Reactive vs. Deliberative Agents in the Real World | Coursera:\n\nKernidee: Concept: Reactive vs.\n\nWaarom dit belangrijk is: Deliberative Agents in the Real World | Coursera\n\nSummary:\nFocus van deze les:\nPicture this.\n\nWat je vooral moet onthouden: You walk into a room and the light turns on automatically."
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        "front": "Herinnering 1",
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        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Picture this. You walk into a room and the light turns on automatically."
      },
      {
        "front": "Herinnering 5",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 6",
        "back": "Picture this. You walk into a room and the light turns on automatically. Now picture"
      },
      {
        "front": "Herinnering 7",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 8",
        "back": "asking your smart assistant to plan a movie night. Both systems are reacting, but very"
      },
      {
        "front": "Herinnering 9",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 10",
        "back": "1. De uitleg opent met It's about choosing the right tool for the right task.. Dat zet het vertrekpunt van de redenering neer."
      }
    ]
  },
  "quiz": {
    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
        "choices": [
          "Concept: Reactive vs.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
        "choices": [
          "Deliberative Agents in the Real World | Coursera\n\nSummary:\nFocus van deze les:\nPicture this.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 3?",
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          "You walk into a room and the light turns on automatically.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale

explanation_export — 2026-07-09

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"sourceText": "Picture this. You walk into a room and the light turns on automatically. Now picture\nasking your smart assistant to plan a movie night. Both systems are reacting, but very\ndifferently. One's fast and simple. The other thinks before it acts. That's the difference\nbetween reactive and deliberative agents. Reactive agents respond immediately to changes\nin their environment. There's no deep reasoning. They sense and act. Think of a thermostat\nadjusting heat, a car's collision detection system, a robot vacuum avoiding a chair. They\nare reliable, fast and often operate in real-time. But they don't plan or learn. They're great\nwhen the response is obvious and the goal is speed. Deliberative agents take input,\nreason and then decide on a course of action. This can involve evaluating options, forecasting\noutcomes or balancing priorities. Let's go back to that movie night example. An agent\nlike Amazon Alexa might check your calendar, suggest available times, dim the lights, queue\nup your streaming app. These agents need internal memory, decision trees, maybe even a task\nmanager and they are ideal when the task has multiple steps or variables. So it's\nnot about which is better. It's about choosing the right tool for the right task. By the\nend of this video, you will be able to differentiate between reactive, deliberative and hybrid\nagent behaviors. Identify real-world examples of when each agent type is most effective.\nUnderstand the trade-offs between speed, planning and adaptability in agent design. Recognize\nhow hybrid agents combine fast reactions with strategic planning. Apply these concepts to\nselect the right agent behavior model for specific use cases. Some agents combine both\napproaches. A hybrid agent can react in real-time but also make long-term decisions. Think of\na self-driving car. It reacts instantly to a pedestrian but also follows a route, reroutes\naround traffic and estimates arrival time. That's reactive plus deliberative working\ntogether. Whether it's turning on a light or planning your week, AI agents work in different\nways to get things done. And as a designer, you will need to know when to keep it simple\nand when to let your agent think. Before we move on, take a moment to reflect and answer\nthe quick question on your screen. In this video, you learn. Reactive agents act instantly\nwithout thinking. Great for simple, fast tasks. Deliberative agents reason before acting.\nIdeal for multi-step decisions. Hybrid agents combine quick reactions with planned actions.\nEach agent type suits different task needs. Speed was a strategy. Designers mu

explanation_study_pack — 2026-07-09

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  "conceptTitle": "How AI Agents Perceive the World Around Them | Coursera",
  "language": "Dutch",
  "level": "beginner",
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    "text": "Concept: How AI Agents Perceive the World Around Them | Coursera:\n\nKernidee: Concept: How AI Agents Perceive the World Around Them | Coursera\n\nSummary:\nFocus van deze les:\nHave you ever wondered how a self-driving car knows when to slow down or how a voice\n\nWat je echt moet begrijpen:\nassistant knows when you're asking a question versus just thinking out loud?\n\nWaarom dit belangrijk is: Hoe je dit stap voor stap toepast:\n1.\n\nWat je vooral moet onthouden: Key points:\n- Have you ever wondered how a self-driving car knows when to slow down or how a voice\n- Wat je echt moet begrijpen:\n- assistant knows when you're asking a question versus just thinking out loud?"
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        "front": "Herinnering 1",
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        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
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        "front": "Herinnering 4",
        "back": "Have you ever wondered how a self-driving car knows when to slow down or how a voice"
      },
      {
        "front": "Herinnering 5",
        "back": "Wat je echt moet begrijpen:"
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      {
        "front": "Herinnering 6",
        "back": "assistant knows when you're asking a question versus just thinking out loud? Hoe je dit stap voor stap toepast:"
      },
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        "front": "Herinnering 7",
        "back": "Key points:"
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        "front": "Herinnering 8",
        "back": "Have you ever wondered how a self-driving car knows when to slow down or how a voice"
      },
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        "front": "Herinnering 9",
        "back": "Wat je echt moet begrijpen:"
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        "front": "Herinnering 10",
        "back": "assistant knows when you're asking a question versus just thinking out loud?"
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
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          "Hoe je dit stap voor stap toepast:\n1.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
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          "Een keuze die het concept verwart met iets anders."
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        "answerIndex": 0,
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explanation_export — 2026-07-09

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  "sourceText": "Have you ever wondered how a self-driving car knows when to slow down or how a voice\nassistant knows when you're asking a question versus just thinking out loud?\nMost developers find themselves asking this exact question when they first start working\nwith perception systems.\nThat first step, where the system notices something, is called perception.\nAnd for AI agents, it's where intelligence begins.\nBy the end of this video, you will be able to define perception in the context of AI\nagents, identify different types of perception inputs AI agents use, and explain why accurate\nperception is critical for agent behavior.\nPerception in AI agents is just like it is in humans.\nIt is how they experience the world.\nFor us, it's sight, sound, touch.\nFor agents, it's things like sensor data, API responses, user commands, or telemetry\nlogs.\nOn one of his early projects, a senior developer recalls working with an agent processing industrial\nmachine data raw sensor readings coming in by the second.\nThe challenge wasn't getting the data.\nIt was helping the agent understand which inputs actually mattered.\nFor example, a customer service bot receives type text.\nA warehouse robot scans QR codes.\nA home assistant hears your voice.\nThese are all ways agents perceive what's happening around them.\nBut perception isn't just about collecting data.\nIt's about making sense of it.\nAn agent has to filter out noise, extract relevant signals, and turn messy inputs into\nusable insights.\nThink of a smart traffic light.\nIt doesn't just detect motion.\nIt classifies.\nIs that a car?\nA person?\nIs it safe to switch signals?\nOne developer reported an instance of a breakdown in a simulation where the agent mistook a\ncyclist for a pedestrian.\nAnd that tiny misclassification completely changed its behavior.\nThat's the power and risk of perception.\nOne great example is how Amazon Alexa handles a request like plan a movie night.\nIt doesn't just trigger a single response.\nIt recognizes layered intent.\nDim the lights, check your calendar, maybe even order snacks.\nThat kind of perception enables multi-step contextual action.\nDifferent types of agents use perception in different ways.\nReactive agents respond instantly, like flipping a switch when motion is detected.\nReactive agents perceive, pause, plan, and then act.\nHybrid agents combine both, responding quickly but also adapting based on new information.\nHybrid agents are especially powerful.\nThey give you flexibility, quick response when you need it, and thoughtful behavior\nwhen it counts.\nBut it all depends on what the agent can perceive and how well it interp

flashcards — 2026-06-27

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      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-06-27

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
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cheat_sheet — 2026-06-27

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  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-06-27

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

explanation_study_pack — 2026-06-27

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  "conceptTitle": "Threats and Breaches | Coursera",
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  "sourceUrl": "https://www.coursera.org/learn/introduction-to-cybersecurity-essentials/lecture/Rg46R/threats-and-breaches",
  "sourceTitle": "Threats and Breaches | Coursera",
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    "text": "Concept: Threats and Breaches | Coursera:\n\nKernidee: Concept: Threats and Breaches | Coursera\n\nSummary:\nFocus van deze les:\nWillkommen bei „Bedrohungen und Sicherheitslücken“.\n\nWaarom dit belangrijk is: Nachdem Sie sich dieses Video angesehen haben, können Sie die verschiedenen Arten von Sicherheitsbedrohungen identifizieren,...\n\nWat je vooral moet onthouden: Key points:\n- Willkommen bei „Bedrohungen und Sicherheitslücken“."
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        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Willkommen bei „Bedrohungen und Sicherheitslücken“. Nachdem Sie sich dieses Video angesehen haben, können Sie die verschiedenen Arten von Sicherheitsbedrohungen identifizieren,..."
      },
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        "front": "Herinnering 5",
        "back": "Key points:"
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        "front": "Herinnering 6",
        "back": "Willkommen bei „Bedrohungen und Sicherheitslücken“. Nachdem Sie sich dieses Video angesehen haben, können Sie die verschiedenen Arten von Sicherheitsbedrohungen identifizieren,..."
      },
      {
        "front": "Herinnering 7",
        "back": "Wat je echt moet begrijpen:"
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        "front": "Herinnering 8",
        "back": "Willkommen bei „Bedrohungen und Sicherheitslücken“"
      },
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        "front": "Herinnering 9",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 10",
        "back": "1. De uitleg opent met Willkommen bei „Bedrohungen und Sicherheitslücken“.. Dat zet het vertrekpunt van de redenering neer."
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
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        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
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          "Nachdem Sie sich dieses Video angesehen haben, können Sie die verschiedenen Arten von Sicherheitsbedrohungen identifizieren,...",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
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        "prompt": "Welke kernles hoort het best bij punt 3?",
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explanation_export — 2026-06-27

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  "sourceText": "Willkommen bei „Bedrohungen und Sicherheitslücken“. Nachdem Sie sich dieses Video angesehen haben, können Sie die verschiedenen Arten von Sicherheitsbedrohungen identifizieren, Beispiele für Sicherheitsbedrohungen auflisten und den Unterschied zwischen einem Wurm und einem Trojaner erklären. Schwache Sicherheitsrichtlinien können zu physischen Bedrohungen, Manipulationen oder zum Diebstahl von Hardware führen. Nur vertrauenswürdiges, autorisiertes Personal sollte physischen Zugang zu Informationssystemen haben, und zwar nur für die spezifischen Systeme, für die es verantwortlich ist. Es ist viel einfacher, Daten direkt von einem Laptop oder Server zu stehlen, als sich remote in ein komplexes Netzwerk zu hacken. Um die Hardware vor physischen Bedrohungen, Manipulationen und Diebstahl zu schützen, sperren Sie sie in einem sicheren Bereich mit Kartenlesern an den Türen ab, um den Zugang zu beschränken. Verwenden Sie eine robuste Überwachung innerhalb und außerhalb der Räumlichkeiten und sorgen Sie dafür, dass diese gewartet , aktualisiert und getestet werden. Bei Stromausfällen, Bränden und Naturkatastrophen wie Erdbeben, Überschwemmungen, Tornados, Wirbelstürmen und elektrischen Stürmen kann es zu Hardwareausfällen oder -zerstörungen kommen. Umweltbedingungen wie Feuchtigkeit und Schimmel bergen ebenfalls Risiken. Schützen Sie Ihre Geräte mit einer gut gewarteten Infrastruktur, die Brandbekämpfungssysteme, Notstromversorgung und ein ordnungsgemäß funktionierendes HLK-System umfasst, um Feuchtigkeit und Schimmel zu vermeiden. Letztlich funktioniert keine dieser Strategien ohne einen detaillierten Plan, was zu tun ist, wenn eine Katastrophe eintritt oder ein System beschädigt wird. Regelmäßige Planung, Wartung und Backups sowie Durchläufe simulierter Katastrophen- und Angriffsszenarien helfen dabei, den Prozess zu verfeinern und Sicherheitslücken zu identifizieren. Ungepatchte Systeme, falsch konfigurierte Firewalls, schwache Cybersicherheit und schwache physische Sicherheit sind nur einige der Arten, auf denen Datenbedrohungen auftreten. Datenlecks sind die versehentliche Offenlegung vertraulicher oder sensibler Daten durch eine Sicherheitslücke. Datenlecks liegen vor, wenn ein Datenleck vorsätzlich von Cyberkriminellen verursacht wird. Diese treten auf, wenn Social Engineering- oder Phishing-Angriffe Mitarbeiter dazu verleiten, vertrauliche Anmeldeinformationen oder Informationen preiszugeben. Bei Datendumps werfen Cyberkriminelle gestohlene Daten ins Dark Web, um Geld zu verdienen. Ein Datendump kann PII, PHI, Bankkontonummern, PINs, Sozialversicherungsnummern und mehr enthalten. Andere Cyberkriminelle kaufen und verwenden Datendumps für Dinge wie Identitätsdiebstahl und Passwortangriffe. Beim Müllcontain

explanation_study_pack — 2026-06-27

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  "derivationModel": "gpt-4o-mini",
  "derivationVersion": "explanation-study-pack-v2",
  "sourceArtifactId": "cmqw0c0tn0100bfwbumbacq8o",
  "conceptTitle": "Security and Information Privacy  | Coursera",
  "language": "Dutch",
  "level": "beginner",
  "lessonType": "video_lesson",
  "sourceUrl": "https://www.coursera.org/learn/introduction-to-cybersecurity-essentials/lecture/LSQoG/security-and-information-privacy",
  "sourceTitle": "Security and Information Privacy | Coursera",
  "summary": {
    "text": "Concept: Security and Information Privacy  | Coursera:\n\nKernidee: Concept: Security and Information Privacy  | Coursera\n\nSummary:\nFocus van deze les:\nWillkommen bei „Sicherheit und Datenschutz“.\n\nWaarom dit belangrijk is: Nachdem Sie sich dieses Video angesehen haben, werden Sie in der Lage sein, geistiges Eigentum zu definieren, zu erklären, wie Daten...\n\nWat je vooral moet onthouden: Key points:\n- Willkommen bei „Sicherheit und Datenschutz“."
  },
  "flashcards": {
    "cards": [
      {
        "front": "Herinnering 1",
        "back": "Concept: Security and Information Privacy  | Coursera"
      },
      {
        "front": "Herinnering 2",
        "back": "Summary:"
      },
      {
        "front": "Herinnering 3",
        "back": "Focus van deze les:"
      },
      {
        "front": "Herinnering 4",
        "back": "Willkommen bei „Sicherheit und Datenschutz“. Nachdem Sie sich dieses Video angesehen haben, werden Sie in der Lage sein, geistiges Eigentum zu definieren, zu erklären, wie Daten..."
      },
      {
        "front": "Herinnering 5",
        "back": "Key points:"
      },
      {
        "front": "Herinnering 6",
        "back": "Willkommen bei „Sicherheit und Datenschutz“. Nachdem Sie sich dieses Video angesehen haben, werden Sie in der Lage sein, geistiges Eigentum zu definieren, zu erklären, wie Daten..."
      },
      {
        "front": "Herinnering 7",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 8",
        "back": "Willkommen bei „Sicherheit und Datenschutz“"
      },
      {
        "front": "Herinnering 9",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 10",
        "back": "1. De uitleg opent met Willkommen bei „Sicherheit und Datenschutz“.. Dat zet het vertrekpunt van de redenering neer."
      }
    ]
  },
  "quiz": {
    "questions": [
      {
        "prompt": "Welke kernles hoort het best bij punt 1?",
        "choices": [
          "Concept: Security and Information Privacy  | Coursera\n\nSummary:\nFocus van deze les:\nWillkommen bei „Sicherheit und Datenschutz“.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 2?",
        "choices": [
          "Nachdem Sie sich dieses Video angesehen haben, werden Sie in der Lage sein, geistiges Eigentum zu definieren, zu erklären, wie Daten...",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 3?",
        "choices": [
          "Key point

explanation_export — 2026-06-27

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"sourceText": "Willkommen bei „Sicherheit und Datenschutz“. Nachdem Sie sich dieses Video angesehen haben, werden Sie in der Lage sein, geistiges Eigentum zu definieren, zu erklären, wie Daten in Informationen umgewandelt werden können, und die verschiedenen Arten vertraulicher Informationen aufzulisten. Ein Informationsgut sind Informationen oder Daten, die von Wert sind. Beispiele hierfür sind Patientenakten, Kundeninformationen und geistiges Eigentum. Informationsbestände können physisch, auf Papier , Festplatten oder anderen Medien oder elektronisch in Datenbanken und Dateien vorhanden sein. Bei der Datenanalyse werden Rohdaten wie Werte oder Fakten verwendet, um aussagekräftige Informationen zu erstellen. Daten sind Rohwerte und Fakten, die normalerweise von automatisierten Systemen gesammelt werden. Zum Beispiel Seitenbesuche, Linkklicks, monatliche Verkäufe. Informationen sind eine Zusammenfassung der Rohdaten. Zum Beispiel positive oder negative Ergebnisse, die nach einer bestimmten Änderung auftreten. Erkenntnisse sind Schlussfolgerungen, die auf den Ergebnissen der Informationsanalyse basieren. Aussagekräftige Geschäftsentscheidungen basieren auf Erkenntnissen. Wenn sich beispielsweise nach der Änderung der Ladenöffnungszeiten ein positiver Trend einstellt, wäre es die richtige Geschäftsentscheidung, diese neuen Öffnungszeiten beizubehalten. Geistiges Eigentum (oder IP) bezieht sich auf geistige Schöpfungen und ist im Allgemeinen nicht greifbar. Es ist oft urheberrechtlich, markenrechtlich und patentrechtlich geschützt. Industriedesigns , Geschäftsgeheimnisse und Forschungsentdeckungen sind Beispiele für geistiges Eigentum. Sogar ein Teil des Wissens der Mitarbeiter gilt als geistiges Eigentum. Unternehmen verwenden ein rechtsverbindliches Dokument, eine sogenannte Geheimhaltungsvereinbarung (oder NDA), um die Weitergabe vertraulicher Informationen zu verhindern. Digitale Produkte sind immaterielle Vermögenswerte, die ein Unternehmen besitzt. Beispiele hierfür sind Software, Online-Musik, Online-Kurse, E-Books oder Hörbücher sowie Webelemente wie WordPress- oder Shopify-Themen. Ein Unternehmen muss digitale Produkte vor Piraterie und Reverse-Engineering schützen. Quellcodes, Lizenzen und Aktivierungsschlüssel müssen auch vor Hackern und Insiderbedrohungen geschützt werden. Bei Digital Rights Management (DRM) handelt es sich um Code, der direkt zu Dateien hinzugefügt wird und so verhindert, dass digitale Inhalte kopiert oder raubkopiert werden. Es gibt jedoch Tools, mit denen DRM-Code entfernt werden kann. Der Digital Millennium Copyright Act (DMCA) macht es illegal, Kopierschutzmaßnahmen zu umgehen oder Technologien zu entwickeln, die helfen, Kopier

explanation_pdf — 2026-06-27

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  "fileName": "Introduction to Cybersecurity Essentials - Home - Week week - Introduction to Cybersecurity Essentials - Home - Week week - Coursera - 2026-06-27T06-56-08-232Z.pdf",
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explanation_export — 2026-06-27

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  "sourceUrl": "https://www.coursera.org/learn/introduction-to-cybersecurity-essentials/lecture/96Yp5/security-threats-safe-browsing-techniques",
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  "sourceText": "Manage Consent PreferencesEssential CookiesAlways ActiveThese cookies are necessary for the basic operation of the Site, including to authenticate users, prevent fraudulent use of user accounts, and offer Site features that are fundamental to the services. These cookies are automatically enabled and cannot be turned off because they are required for the Site to function properly.Analytics CookiesAlways ActiveThese cookies allow us to understand how visitors use the Site to enhance the content, quality, and features of the Site and the services. For example, these cookies allow us to recognize and count the number of visitors and understand how visitors move around the Site when using it.Functional CookiesAlways ActiveThese cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.Marketing CookiesAlways ActiveThese cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.",
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flashcards — 2026-06-18

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-06-18

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-06-18

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  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-06-18

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-06-18

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-06-18

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
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}

cheat_sheet — 2026-06-18

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-06-18

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-06-18

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-06-18

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  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-06-18

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-06-18

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

explanation_study_pack — 2026-06-18

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        "front": "Herinnering 3",
        "back": "Focus van deze les:"
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        "front": "Herinnering 4",
        "back": "Information is a summary of the raw data. For example, positive or negative results that happen after some specific change."
      },
      {
        "front": "Herinnering 5",
        "back": "Key points:"
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        "front": "Herinnering 6",
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        "front": "Herinnering 7",
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      },
      {
        "front": "Herinnering 9",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
        "front": "Herinnering 10",
        "back": "1. De uitleg opent met Information is a summary of the raw data.. Dat zet het vertrekpunt van de redenering neer."
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  "quiz": {
    "questions": [
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        "prompt": "Welke kernles hoort het best bij punt 1?",
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
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          "For example, positive or negative results that happen after some specific change.",
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          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
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      },
      {
        "prompt": "Welke kernles hoort het best bij punt 3?",
        "choices": [
          "Key points:\n- Information is a summary of the

explanation_export — 2026-06-18

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"sourceText": "Information is a summary of the raw data. For example, positive or negative results that happen after some specific change. And, insights are conclusions based on the results of information analysis. Meaningful business decisions are based on insights. For example, If a positive trend occurs after store hours are changed, the right business decision would be to maintain those new hours. Intellectual property (or IP) refers to creations of the mind and generally are not tangible. It's often protected by copyright, trademark, and patent law.\nIndustrial designs, trade secrets, and research discoveries are all examples of IP. Even some employee knowledge is considered intellectual property. Companies use a legally binding document called a Non-Disclosure Agreement (or an NDA) to prevent the sharing of sensitive information. Digital products are non-tangible assets a company owns. Examples include software, online music, online courses, e-Books or audiobooks, and web elements like WordPress or Shopify themes. A company must protect digital products from piracy and reverse-engineering. Source codes, licenses, and activation keys also need protection from hackers and insider threats.\nHere are the differences between them. Personally Identifiable Information (PII) is information that identifies a person. Personal Customer Information (PCI) is information that identifies and describes a customer. It includes much of the same types of data as PII. Like name, address, contact information, account login, and demographics. It can also include descriptive data like age, gender, job title, and marital status. Sensitive Personal Information (SPI) is information that does not identify but can cause harm if made public.",
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flashcards — 2026-06-18

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
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}

quiz — 2026-06-18

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
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      "prompt": "Welke kernles hoort het best bij punt 2?",
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        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
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  ]
}

cheat_sheet — 2026-06-18

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-06-18

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-06-18

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-06-18

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
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        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-06-18

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  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-06-18

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-06-18

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-06-18

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-06-18

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  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-06-18

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

explanation_study_pack — 2026-06-18

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        "front": "Herinnering 3",
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        "front": "Herinnering 4",
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        "front": "Herinnering 5",
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        "front": "Herinnering 6",
        "back": "Information is a summary of the raw data. For example, positive or negative results that happen after some specific change. And, insights are conclusions based on the results..."
      },
      {
        "front": "Herinnering 7",
        "back": "Wat je echt moet begrijpen:"
      },
      {
        "front": "Herinnering 8",
        "back": "Industrial designs, trade secrets, and research discoveries are all examples of IP. Even some employee knowledge is considered intellectual property. Companies use a legally..."
      },
      {
        "front": "Herinnering 9",
        "back": "Hoe je dit stap voor stap toepast:"
      },
      {
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          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
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          "For example, positive or negative results that happen after some specific change.",
          "Een detail dat minder belangrijk is dan het hoofdidee.",
          "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
          "Een keuze die het concept verwart met iets anders."
        ],
        "answerIndex": 0,
        "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
      },
      {
        "prompt": "Welke kernles hoort het best bij punt 3?",
        "choices": [
          "Key points:\n- Information is a summary of the

explanation_export — 2026-06-18

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"sourceText": "Information is a summary of the raw data. For example, positive or negative results that happen after some specific change. And, insights are conclusions based on the results of information analysis. Meaningful business decisions are based on insights. For example, If a positive trend occurs after store hours are changed, the right business decision would be to maintain those new hours. Intellectual property (or IP) refers to creations of the mind and generally are not tangible. It's often protected by copyright, trademark, and patent law.\nIndustrial designs, trade secrets, and research discoveries are all examples of IP. Even some employee knowledge is considered intellectual property. Companies use a legally binding document called a Non-Disclosure Agreement (or an NDA) to prevent the sharing of sensitive information. Digital products are non-tangible assets a company owns. Examples include software, online music, online courses, e-Books or audiobooks, and web elements like WordPress or Shopify themes. A company must protect digital products from piracy and reverse-engineering. Source codes, licenses, and activation keys also need protection from hackers and insider threats.\nHere are the differences between them. Personally Identifiable Information (PII) is information that identifies a person. Personal Customer Information (PCI) is information that identifies and describes a customer. It includes much of the same types of data as PII. Like name, address, contact information, account login, and demographics. It can also include descriptive data like age, gender, job title, and marital status. Sensitive Personal Information (SPI) is information that does not identify but can cause harm if made public.",
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flashcards — 2026-06-18

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-06-18

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-06-18

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  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
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summary — 2026-06-18

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-06-18

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  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-06-18

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-06-18

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  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-06-18

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-06-18

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-06-18

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-06-18

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-06-18

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

explanation_export — 2026-06-18

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  "sourceText": "Manage Consent PreferencesEssential CookiesAlways ActiveThese cookies are necessary for the basic operation of the Site, including to authenticate users, prevent fraudulent use of user accounts, and offer Site features that are fundamental to the services. These cookies are automatically enabled and cannot be turned off because they are required for the Site to function properly.Analytics CookiesAlways ActiveThese cookies allow us to understand how visitors use the Site to enhance the content, quality, and features of the Site and the services. For example, these cookies allow us to recognize and count the number of visitors and understand how visitors move around the Site when using it.Functional CookiesAlways ActiveThese cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.Marketing CookiesAlways ActiveThese cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.",
  "rawSourceText": "Manage Consent PreferencesEssential CookiesAlways ActiveThese cookies are necessary for the basic operation of the Site, including to authenticate users, prevent fraudulent use of user accounts, and offer Site features that are fundamental to the services. These cookies are automatically enabled and cannot be turned off because they are required for the Site to function properly.Analytics CookiesAlways ActiveThese cookies allow us to understand how visitors use the Site to enhance the content, quality, and features of the Site and the services. For example, these cookies allow us to recognize and count the number of visitors and understand how visitors move around the Site when using it.Functional CookiesAlways ActiveThese cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.Marketing CookiesAlways ActiveThese cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They are based on uniquely iden

flashcards — 2026-06-18

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-06-18

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
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        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
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cheat_sheet — 2026-06-18

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  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
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}

summary — 2026-06-18

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-06-18

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-06-18

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
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        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    }
  ]
}

cheat_sheet — 2026-06-18

{
  "bullets": [
    "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
  ]
}

summary — 2026-06-18

{
  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-06-18

{
  "cards": [
    {
      "front": "Herinnering 1",
      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
    }
  ]
}

quiz — 2026-06-18

{
  "questions": [
    {
      "prompt": "Welke kernles hoort het best bij punt 1?",
      "choices": [
        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 2?",
      "choices": [
        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
    {
      "prompt": "Welke kernles hoort het best bij punt 3?",
      "choices": [
        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
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    },
    {
      "prompt": "Welke kernles hoort het best bij punt 4?",
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        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
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        "Een keuze die het concept verwart met iets anders."
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cheat_sheet — 2026-06-18

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summary — 2026-06-18

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  "text": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive d:\n\nKernidee: 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.\n\nWaarom dit belangrijk is: After watching this video, you'll be able to describe in-context learning.\n\nWat je vooral moet onthouden: You will also be able to explain the fundamentals of prompt engineering."
}

flashcards — 2026-06-18

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      "back": "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files"
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}

quiz — 2026-06-18

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  "questions": [
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        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
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        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
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    },
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        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
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cheat_sheet — 2026-06-18

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summary — 2026-06-18

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}

explanation_study_pack — 2026-06-18

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explanation_export — 2026-06-18

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explanation_study_pack — 2026-06-18

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explanation_export — 2026-06-18

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explanation_study_pack — 2026-06-18

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explanation_export — 2026-06-18

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    "text": "Focus van deze les:\nBenefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases. Several practical applications include deciphering complex...\n\nWat je echt moet begrijpen:\nBenefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases\n\nHoe je dit stap voor stap toepast:\n1. De uitleg opent met Benefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases.. Dat zet het vertrekpunt van de redenering neer.\n2. Vervolgens bouwt de les verder via Several practical applications include deciphering complex legal documents, extracting key statistics from reports, customer support, and automating routine writing tasks., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.\n3. Vervolgens bouwt de les verder via LangChain can be used with other data types by using external libraries and models., zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.\n4. Daarna laat de les zien hoe Benefits include modularity, extensibility, decomposition capabilities, and easy integration with vector databases. Several practical applications include deciphering complex... het resultaat of de toepassing afrondt.\n\nWaar je op moet letten in de bron:\n- Several practical applications include deciphering complex legal documents, extracting key statistics from reports, customer support, and automating routine writing tasks. is belangrijk omdat daar de keuze of overgang wordt vastgele

flashcards — 2026-06-18

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      "front": "Herinnering 1",
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quiz — 2026-06-18

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        "1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nWelcome to Introduction to In-context Learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
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        "After watching this video, you'll be able to describe in-context learning.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
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      "prompt": "Welke kernles hoort het best bij punt 3?",
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        "You will also be able to explain the fundamentals of prompt engineering.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
      ],
      "answerIndex": 0,
      "explanation": "Het juiste antwoord is de keuze die het centrale idee of de belangrijkste toepassing het duidelijkst samenvat."
    },
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      "prompt": "Welke kernles hoort het best bij punt 4?",
      "choices": [
        "In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language.",
        "Een detail dat minder belangrijk is dan het hoofdidee.",
        "Een oppervlakkige formulering die niet uitlegt waarom het werkt.",
        "Een keuze die het concept verwart met iets anders."
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cheat_sheet — 2026-06-18

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summary — 2026-06-18

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explanation_study_pack — 2026-06-18

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explanation_export — 2026-06-18

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    "text": "Focus van deze les:\n1.25 Introduction to In-Context Learning Warning: 3 XP\n\nWat je echt moet begrijpen:\nApplied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nHoe je dit stap voor stap toepast:\n1. De uitleg opent met 1.25 Introduction to In-Context Learning Warning: 3 XP • Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files. Dat zet het vertrekpunt van de redenering neer.\n2. Vervolgens bouwt de les verder via 1.25 Introduction to In-Context Learning Warning: 3 XP, zodat duidelijk wordt hoe deze stap de volgende beslissing aanstuurt.\n3. Daarna laat de les zien hoe Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files het resultaat of de toepassing afrondt.\n\nWaar je op moet letten in de bron:\n- 1.25 Introduction to In-Context Learning Warning: 3 XP is belangrijk omdat daar de keuze of overgang wordt vastgelegd die de rest van de uitleg richting geeft.\n- Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files laat zien dat het niet om losse termen gaat, maar om een mechanisme dat je stap voor stap moet volgen.\n- Onthoud vooral: Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files\n\nHoe je dit later gebruikt in oefeningen of opdrachten:\nLater gebruik je deze redenering opnieuw wanneer Applied Generative AI Development and Strategy Save note Dive deeper on this topic Files. Daardoor zie je hoe de les niet bij een definitie stopt, maar doorloopt naar echte toepassing.\n\nZelfcheckvragen:\n1) Welk probleem helpt \"Introduction to In-Context Learning | Coursera\" oplossen?\n2) Welke stap of eigenschap is cruciaal voor een correcte toepassing?\n3) Welke fout maak je hier het snelst?",
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