In this video, I dive into OpenAI’s new open-source Github repository, Swarm, and explore how it simplifies the development of multi-agent AI systems. Whether you’ve experimented with other frameworks like Langraph or CrewAI, you’ll learn how Swarm introduces fresh concepts for building cooperative AI agents.

Join me as we go through the key features of Swarm, from understanding key concepts like routines and handoffs to checking out its open-source repository. We’ll break down the possibilities for this framework and how it could lead the future of multi-agent systems as it could be OpenAI first step into multi-agents development

What You’ll Learn:
– The core concepts of multi-agent AI systems using OpenAI’s Swarm.
– How routines structure agents and handoffs ensure smooth conversations.
– The potential future of Swarm and its impact on AI agents development.

By the end of this video, you’ll have a solid understanding of Swarm, and be ready to explore how this experimental framework could transform your AI projects.

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⏰ Timestamps:
00:00 Introduction
00:45 Routines & Handoffs
02:28 Overview of the Repo
03:18 Basic Agents
04:51 Add Context Variables
05:33 Function Calling
06:30 Agent Handoffs
08:02 Airlines Multi-Agent
10:05 Conclusion & Next Steps
14:06 Eval & tests
15:22 Final thoughts and Conclusion

🔗 Links:
OpenAI Cookbook article: https://cookbook.openai.com/examples/orchestrating_agents
Github Library: https://github.com/openai/swarm/
All other resources are available in the Skool community: https://www.skool.com/dona-ai/about

👋🏻 About Me:
I’m Dona, a software engineer focused on AI and automation. If you need help building AI-driven solutions, feel free to reach out: [email protected]
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#OpenAISwarm #MultiAgentSystems #AIDevelopment #ArtificialIntelligence #OpenSourceAI

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