Building Reliable LLM Applications With LangChain And LangSmith
It’s become easier and easier to build a prototype for an LLM application – with LangChain you can do it in ~5 lines of code. But going from prototype to production is much more difficult, which is where LangSmith comes in.
Brain icon for The AI Conference 2023, a groundbreaking two-day event on AGI, LLMs, Infrastructure, Alignment, AI Startups, and Neural Architectures.This talk will cover the emerging journey an aspiring AI engineer embarks on, from prototyping to debugging to testing to evaluating to monitoring and everything in between!
About Harrison Chase
Harrison Chase is the co-founder and CEO of LangChain, a company formed around the open-source Python/Typescript packages that aim to make it easy to develop Language Model applications. Prior to starting LangChain, he led the ML team at Robust Intelligence (an MLOps company focused on testing and validation of machine learning models), led the entity linking team at Kensho (a fintech startup), and studied stats and CS at Harvard.
Video Recorded at The AI Conference. Copyright, The AI Conference, All Rights Reserved
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