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Architecture des boucles d'agents LLM avec LangChain

Quality: 8/10 Relevance: 9/10

Summary

Architecture des boucles d'agents LLM avec LangChain explores the four-loop framework for building reliable AI agents: the basic agent loop, a verification loop with graders, an event-driven loop for ongoing integration, and a hill-climbing loop for continuous improvement. It emphasizes human oversight, the use of LangSmith tooling, and the concept of loopcraft to iteratively enhance agent performance within an ecosystem.

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