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Swarm: OpenAI's Experimental Approach to Multi-Agent Systems

Swarm: OpenAI's Experimental Approach to Multi-Agent Systems

Update: 2024-10-29
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As multi-agent systems grow in importance for fields ranging from customer support to autonomous decision-making, OpenAI has introduced Swarm, an experimental framework that simplifies the process of building and managing these systems. Swarm, a lightweight Python library, is designed for educational purposes, stripping away complex abstractions to reveal the foundational concepts of multi-agent architectures. In this podcast, we explore Swarm’s design, its practical applications, and how it stacks up against other frameworks. Whether you’re new to multi-agent systems or looking to deepen your understanding, Swarm offers a straightforward, hands-on way to get started.

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Swarm: OpenAI's Experimental Approach to Multi-Agent Systems

Swarm: OpenAI's Experimental Approach to Multi-Agent Systems

Arize AI