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New course with Giskard: Red Teaming LLM Applications
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DeepLearning.AI Courses - New course with Giskard: Red Teaming LLM Applications

5.0 (2)
18 learners

What you'll learn

This course includes

  • 5.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Full Transcript

Enroll now: https://bit.ly/3U6T7zr Learn how to make safer LLM apps with our new short course built in collaboration with Giskard: Red Teaming LLM Applications. 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, and: Explore the nuances of LLM performance evaluation, and understand the differences between benchmarking foundation models and testing LLM applications. Get an overview of fundamental LLM application vulnerabilities and how they affect real-world deployments. Gain hands-on experience with both manual and automated LLM red-teaming methods. 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. Learn more: https://bit.ly/3U6T7zr

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