Red Teaming LLM Applications
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...
By Matteo Dora on Coursera
About 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.
Topics Covered
Frequently Asked Questions
How much does Red Teaming LLM Applications cost?
Visit the Red Teaming LLM Applications course page for current pricing and available discounts.
Who teaches Red Teaming LLM Applications?
Red Teaming LLM Applications is taught by Matteo Dora, DeepLearning.AI.
What skill level is Red Teaming LLM Applications for?
This course is designed for all levels learners.
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