Building Autonomous Agents

In this episode, we dive into the fascinating world of building autonomous agents and assistants using Behavior Trees, or as I like to call them, Agentic Behavior Trees. Leveraging the GPT Assistants Playground, we explore how to implement control structures that guide the actions of multiple assistants or agents in an agentic system.
Behavior Trees are a well-established pattern, originally popularized for controlling robots and non-player characters in games. Agentic Behavior Trees, a specialized subset of this pattern, utilize prompt-guided actions to achieve complex tasks in AI systems.
In this video, we'll walk through the construction of an Agentic Behavior Tree designed to manage agents that source content from UA-cam. These agents convert and summarize video transcripts to create blog posts for platforms like Medium.
The GPT Assistants Playground, which we've covered in several previous videos, is a powerful platform for building AI Assistants and agent systems using the OpenAI Assistants API. Check out the GitHub project here: GPT Assistants Playground.
Join us as we explore this innovative approach to autonomous agent development!
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[@mikelnicolas7032]

Thank you for sharing.