Follow AI Builders — Not Influencers
talked about how harnesses & evals help you own your intelligence how they fit in to the big picture: owning your intelligence means three things: - open agent system (harness is a big part of this!) - compounding loop (evals are a big part of this!) - governed runtime (harness also important here - we see managed harnesses growing rapidly)
An agent is three things: a harness, a model, and context. If you're serious about owning your intelligence, you probably want to own all three. @LangChain founder @hwchase17 joined us at our @sequoia Own Your Intelligence to talk about the piece that often gets the least
View quoted postone of the strengths of managed deepagents is how easy it is to define all the pieces of your production agent we updated our docs to reflect this. each component is its own file. you can easy click through to see where it lives, what it looks like, etc https://docs.langchain.com/langsmith/python/managed-deep-agents-overview#example-agent
RT Julia Schottenstein Had to marry him for @segall_max to write this @LangChain ftw!
If Albert Einstein were developing agents, he’d FOR SURE be building with @LangChain 🦜🦜🦜
