Introducing "Training Data," a new podcast from Sequoia about the future of A.I.
Crucible Moments
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Exploring Standardized Interfaces, Orchestrations, and Observability in LangChain and Lang Smith for LLM Applications
The chapter emphasizes the importance of standardizing interfaces in LangChain for different components and discusses the distinctions between chains and cyclical loops in orchestration. It also explores the challenges in observability and testing for LLM applications, discussing the necessity of human review and the need for new approaches in testing.
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