Multi-Agent Systems: A Team of AIs, Not a Monolith
Instead of one giant AI, a Multi-Agent System is a team of specialized AIs that collaborate on a complex problem. This appears in LLM-powered coding assistants and complex simulations.
Think of a Multi-Agent System not as one monolithic AI, but as a team of specialized agents. Each has its own goals and interacts to solve problems too complex for one agent alone. This is used for complex simulations and, with LLMs, building systems where agents act as planner, coder, and critic to develop software. The hardest part isn't the individual agents; it's defining the communication and coordination rules to ensure they achieve a collective goal without descending into unproductive chaos.
Read the original → Wikipedia: Multi-agent system
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