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Unsupervised Learning
Ep 28: LangChain CEO Harrison Chase on the Current State of Eval and Agents and The LLM Apps that Will Define 2024
Feb 20, 2024
LangChain CEO Harrison Chase discusses AI evaluation, agent landscape, open vs. closed source models, and future of AI applications. Topics include LangSmith, AI in sports, evaluation practices, and the potential of open-source models. The podcast also explores the current AI landscape, deploying LangChain applications with LangServe, and the evolution of more complex chatbots.
01:04:44
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Quick takeaways
- Prepare for uncertainty in AI development by focusing on adaptability and innovation.
- Utilize Language Operating Models (LOMs) in sports analytics for enhanced fan engagement.
Deep dives
Agent Landscape and AI Uncertainty
Harrison Chase, the founder CEO of Langchain, discusses his take on the Agent Landscape and acknowledges that despite being in the center of the AI ecosystem, the only predictable thing is that nobody knows what will happen in AI. He emphasizes the importance of startups building an AI to be prepared for uncertainty.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode