Harrison Chase - LangChain Launch: Infrastructure for building reliable agents
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A main issue with agents is that they are not reliable enough. It's easy to build a prototype of agents, but it's still a lot of engineering work to get them to perform reliably. Infrastructure (and tooling) can help make this easier - but thinking about and understanding your application's "cognitive architecture" will always be necessary. This talk will discuss new infrastructure (and tooling) that still gives you full control of the "cognitive architecture" of your application.
Harrison Chase
Harrison Chase is the CEO and co-founder of LangChain, a company formed around the popular open source Python/Typescript packages. The goal of LangChain is to make it as easy as possible to use LLMs to develop context-aware reasoning 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.
Harrison Chase
Harrison Chase is the CEO and co-founder of LangChain, a company formed around the popular open source Python/Typescript packages. The goal of LangChain is to make it as easy as possible to use LLMs to develop context-aware reasoning 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.
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