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Building Multi-Agent Systems with AutoGen and Azure
Instead of a single LLM handling all tasks, multi-agent systems divide work among specialized agents that communicate and coordinate to achieve goals.
4 articles
Instead of a single LLM handling all tasks, multi-agent systems divide work among specialized agents that communicate and coordinate to achieve goals.
AutoGen enables building sophisticated AI systems that can decompose complex tasks and collaborate to find solutions.
I've built prototypes on LangChain, AutoGen, and several newcomers; each choice has trade-offs. This comparison focuses on practical differences that…
I've used AutoGen to prototype multi-agent workflows that handle planning, tool use, and execution. This practical introduction focuses on the patterns that…