Learn how to test and find vulnerabilities in your LLM applications to make them safer. In this course, you’ll attack various chatbot applications using prompt injections to see how the system reacts and understand security failures. LLM failures can lead to legal liability, reputational damage, and costly service disruptions. This course helps you mitigate these risks proactively. Learn industry-proven red teaming techniques to proactively test, attack, and improve the robustness of your LLM applications.
In this course:
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Learn how to test and find vulnerabilities in your LLM applications to make them safer. In this course, you’ll attack various chatbot applications using prompt injections to see how the system reacts and understand security failures. LLM failures can lead to legal liability, reputational damage, and costly service disruptions. This course helps you mitigate these risks proactively. Learn industry-proven red teaming techniques to proactively test, attack, and improve the robustness of your LLM applications.
In this course:
Learn how to test and find vulnerabilities in your LLM applications to make them safer. In this course, you’ll attack various chatbot applications using prompt injections to see how the system reacts and understand security failures. LLM failures can lead to legal liability, reputational damage, and costly service disruptions. This course helps you mitigate these risks proactively. Learn industry-proven red teaming techniques to proactively test, attack, and improve the robustness of your LLM applications.
In this course:
1. Explore the nuances of LLM performance evaluation, and understand the differences between benchmarking foundation models and testing LLM applications.
2. Get an overview of fundamental LLM application vulnerabilities and how they affect real-world deployments.
3. Gain hands-on experience with both manual and automated LLM red-teaming methods.
4. See a full demonstration of red-teaming assessment, and apply the concepts and techniques covered throughout the course.
After completing this course, you will have a fundamental understanding of how to experiment with LLM vulnerability identification and evaluation on your own applications.
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Activities
Review 'Introduction to Machine Learning by Ethem Alpaydin
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Provides a strong theoretical overview of machine learning to better grasp the content of the course.
View
Machine Learning, revised and updated edition...
on Amazon
Show steps
-
Read the first two chapters to build a foundation.
-
Summarize the various approaches to machine learning.
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Describe the core algorithms of supervised and unsupervised learning.
Review Fundamental LLM Applications
Show steps
Refresh your understanding of the core applications and capabilities of LLM models.
Show steps
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Study the different types of LLM applications, such as chatbots, language translators, and content generators.
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Summarize the benefits and challenges of using LLM systems.
Organize Course Notes and Resources
Show steps
Establish a system to effectively manage and review the course materials.
Show steps
-
Create a designated folder or notebook for course-related materials.
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Regularly download and organize lecture notes, slides, and assignments.
-
Bookmark important websites and resources for easy access.
Three other activities
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Explore Benchmarking Foundation Models with Hugging Face
Show steps
Gain familiarity with Hugging Face and learn to evaluate the performance of different LLM models.
Browse courses on
Hugging Face
Show steps
-
Set up a Hugging Face account and explore the model hub.
-
Select an appropriate evaluation metric and load a suitable dataset.
-
Run benchmark tests on different LLM models and analyze the results.
Work through LLM Vulnerability Assessment exercises
Show steps
Conduct practical assessments of chatbot models to gain hands-on experience in identifying vulnerabilities.
Browse courses on
Security Testing
Show steps
-
Simulate user queries and test for vulnerabilities.
-
Compose queries to test specific attack vectors.
-
Analyze system reactions to identify exploitability.
Create a Vulnerability Report for a Sample LLM Application
Show steps
Develop a comprehensive report showcasing your ability to analyze LLM vulnerabilities and communicate findings effectively.
Browse courses on
Vulnerability Analysis
Show steps
-
Select a sample LLM application and conduct a thorough assessment.
-
Identify and classify discovered vulnerabilities.
-
Write a detailed report outlining the vulnerabilities, their impact, and mitigation strategies.
Review 'Introduction to Machine Learning by Ethem Alpaydin
Show steps
Provides a strong theoretical overview of machine learning to better grasp the content of the course.
View
Machine Learning, revised and updated edition...
on Amazon
Show steps
- Read the first two chapters to build a foundation.
- Summarize the various approaches to machine learning.
- Describe the core algorithms of supervised and unsupervised learning.
Review Fundamental LLM Applications
Show steps
Refresh your understanding of the core applications and capabilities of LLM models.
Show steps
- Study the different types of LLM applications, such as chatbots, language translators, and content generators.
- Summarize the benefits and challenges of using LLM systems.
Organize Course Notes and Resources
Show steps
Establish a system to effectively manage and review the course materials.
Show steps
- Create a designated folder or notebook for course-related materials.
- Regularly download and organize lecture notes, slides, and assignments.
- Bookmark important websites and resources for easy access.
Explore Benchmarking Foundation Models with Hugging Face
Show steps
Gain familiarity with Hugging Face and learn to evaluate the performance of different LLM models.
Browse courses on
Hugging Face
Show steps
- Set up a Hugging Face account and explore the model hub.
- Select an appropriate evaluation metric and load a suitable dataset.
- Run benchmark tests on different LLM models and analyze the results.
Work through LLM Vulnerability Assessment exercises
Show steps
Conduct practical assessments of chatbot models to gain hands-on experience in identifying vulnerabilities.
Browse courses on
Security Testing
Show steps
- Simulate user queries and test for vulnerabilities.
- Compose queries to test specific attack vectors.
- Analyze system reactions to identify exploitability.
Create a Vulnerability Report for a Sample LLM Application
Show steps
Develop a comprehensive report showcasing your ability to analyze LLM vulnerabilities and communicate findings effectively.
Browse courses on
Vulnerability Analysis
Show steps
- Select a sample LLM application and conduct a thorough assessment.
- Identify and classify discovered vulnerabilities.
- Write a detailed report outlining the vulnerabilities, their impact, and mitigation strategies.
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