LangSmith Agent Builder
Last week, LangChain released LangSmith Agent Builder.
Now, anyone can create production ready agents without writing code using LangSmith Agent Builder.
As they mention, the distinction between agents and workflows is at the center of how they designed their builder, in contrast to others.
So for LangSmith Agent Builder, we skipped the if-this-then-that canvas and went straight to a proper agent.
Under the hood, agent builder is an agent.
You can create an agent easily in minutes using chat.
Agent builder appears to be nothing but your guide.
The whole idea of agent builder appears to be that you can build agents “like a manager, not a programmer.”
We think that this will make it easier for product managers to hand their work off directly to engineers who want to prep it for production.
We’ll discuss the early patterns that the LangChain team is seeing related to usage of the tool, and we’ll compare it to the Agent Builder that OpenAI came out with just a few months ago.
And of course, we’ll build, ship, and share our own agents using agent builder and take a peek under the hood!
🤓 Who should attend
Anyone interested in building, shipping, and sharing agents at the edge of what’s currently possible!
AI Engineers building production AI applications who want to stay up-to-date on the latest in the LangChain ecosystem.
AI Engineers and AI Engineering leaders who are curious about the efficacy of low-code and no-code agent builder tools for production LLM applications.
Speaker Bios
Dr. Greg” Loughnane is the Co-Founder & CEO of AI Makerspace, where he is an instructor for The AI Engineering Bootcamp. Since 2021, he has built and led industry-leading Machine Learning education programs. Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher. He loves trail running and is based in Columbus, Ohio.
Chris “The Wiz” Alexiuk is the Co-Founder & CTO at AI Makerspace, where he is an instructor for The AI Engineering Bootcamp. During the day, he is also a Developer Advocate at NVIDIA. Previously, he was a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator whose motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.
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