21min chapter

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Ep 28: LangChain CEO Harrison Chase on the Current State of Eval and Agents and The LLM Apps that Will Define 2024

Unsupervised Learning

CHAPTER

Exploring AI Landscape and Agent Frameworks

The chapter explores the current state of the AI landscape, focusing on agent frameworks like Langgraph and the shift towards more focused autonomous agents. It touches on multi-agent frameworks, controlling flows using state machines, and the development of AI models from LOM calls to personalized chatbots. The speaker also discusses the underutilized aspects of Lane Chain, balancing current needs with future flexibility, and the evolving competitive landscape in the AI space.

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