Guide to designing multi-agent AI systems for specialized, parallel tasks
A technical guide outlines architectures for building multi-agent AI systems. It explains that multi-agent systems use specialized AI agents working together to overcome the limitations of single AI models. The guide details several common architectural patterns, including a supervisor model, hierarchical structures, and peer-to-peer swarms. Each pattern is suited to different tasks, such as task decomposition, complex organizational workflows, or exploratory problem-solving. The article provides code examples and specifications for implementing these systems.
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