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Explore the theory and practical applications of Multi-Agent Systems in this 29-minute tutorial that demystifies this fascinating AI concept. Dive into the theoretical foundations through analysis of two key research papers, then watch a hands-on demonstration using MetaGPT to build a software project. The tutorial covers an introduction to multi-agent systems, a software project overview, detailed theoretical explanations, a practical demonstration of MetaGPT with a Pong implementation, and step-by-step guidance for building your own multi-agent software project. Additional resources are provided for further exploration, including links to relevant research papers like "MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework," "AFlow: Automating Agentic Workflow Generation," and other related projects. Perfect for developers and AI enthusiasts looking to understand how multiple AI agents can collaborate to solve complex problems.
