Agent Builder
Last week, OpenAI released AgentKit:
a complete set of tools for developers and enterprises to build, deploy, and optimize agents
And at the center of the release, we see Agent Builder:
a visual canvas for creating and versioning multi-agent workflows
In other words, this might just be the low-code/no-code agent builder we’ve been waiting for! Is it? Does it really go far beyond the Agent IDE’s we’ve seen before?
In addition to Agent Builder, the AgentKit release included:
Connector Registry: a central place for admins to manage how data and tools connect across OpenAI products
ChatKit: a toolkit for embedding customizable chat-based agent experiences in your product
And, more evals!
We’re also expanding evaluation capabilities with new features like datasets, trace grading, automated prompt optimization, and third-party model support to measure and improve agent performance.
Finally, Reinforcement Fine-Tuning can be used to customize reasoning models
Custom tool calls–train models to call the right tools at the right time for better reasoning Custom graders–set custom evaluation criteria for what matters most in your use case
Is Agent Builder really the future of building agents?
If so, why?
If not, why not yet?
Join us live to find out!
🤓 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 OpenAI 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 their 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 their 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 who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.
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