The code and notebooks accompanying Hands-On Large Language Models.
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Documentation for a framework for coordinating multiple AI agents.
A collection of educational resources maintained with OWASP's work on language model application security.
A repository of educational courses and notebooks from Anthropic.
Documentation for testing and evaluating prompts, models, and AI applications.
A site focused on reviews of generative AI models.
A presentation surveying ways to improve language model application performance.
A platform associated with monitoring AI systems and applying guardrails to model interactions.
A toolkit for detecting and anonymizing sensitive information in text and other supported inputs.
Ethan Mollick discusses practical situations where AI can help and where relying on it can be a poor choice.
Letta's November 2024 overview of the layers used to build and run AI agents.
Builder.io discusses practical techniques for making AI features more reliable.