Introducing "Training Data," a new podcast from Sequoia about the future of A.I.

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July 11, 2024 • 51 mins

Crucible Moments will be back shortly with season 2. You’ll hear from the founders of YouTube, DoorDash, Reddit, and more. In the meantime, we’d love to introduce you to a new original podcast, Training Data, where Sequoia partners learn from builders, researchers and founders who are defining the technology wave of the future: AI. The following conversation with Harrison Chase of LangChain is all about the future of AI agents—why they’re suddenly seeing a step change in performance, and why they’re key to the promise of AI. Follow Training Data wherever you listen to podcasts, and keep an eye out for Season 2 of Crucible Moments, coming soon. LangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents Hosted by: Sonya Huang and Pat Grady, Sequoia Capital Mentioned: ReAct: Synergizing Reasoning and Acting in Language Models, the first cognitive architecture for agents SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering, small-model open-source software engineering agent from researchers at Princeton Devin, autonomous software engineering from Cognition V0: Generative UI agent from Vercel GPT Researcher, a research agent Language Model Cascades: 2022 paper by Google Brain and now OpenAI researcher David Dohan that was influential for Harrison in developing LangChain Transcript: https://www.sequoiacap.com/podcast/training-data-harrison-chase/

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.css-15opob5{left:0;position:absolute;top:0.8rem;} All Episodes

.css-14f5ked{margin:0;word-break:break-word;display:-webkit-box;-webkit-box-orient:vertical;box-orient:vertical;-webkit-line-clamp:2;overflow:hidden;}Introducing "Training Data," a new podcast from Sequoia about the future of A.I.