LazaUK/DeepLearningAI-Giskard-RedTeaming
Practical Jupyter notebooks from Andrew Ng and Giskard team's "Red Teaming LLM Applications" course on DeepLearning.AI.
This project provides practical, adaptable code examples to help you test large language models (LLMs) for weaknesses and harmful outputs. It takes common LLM applications and shows you how to identify potential problems like bias, data leakage, and hallucinations. AI safety engineers, product managers, and anyone responsible for deploying secure and ethical LLM applications will find this useful.
No commits in the last 6 months.
Use this if you need to thoroughly test your LLM applications for vulnerabilities and ensure they behave as expected, especially when using Azure OpenAI.
Not ideal if you are looking for a completely automated, out-of-the-box security solution without needing to engage with code examples.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Apr 08, 2024
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