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Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0 cover image

The Point of LangChain — with Harrison Chase of LangChain

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0

NOTE

Observability and Debugging in Context-Aware Reasoning Applications

Observability in Langsmith is essential for building context-aware reasoning applications. The three core atoms are the chain tool, LMLS, and retriever blogging. Debugging is crucial for these apps to ensure data is in the correct format and prompt instructions are followed accurately. Long context windows are effective for extracting specific information.

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