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QCon SF 2024 - Ten Reasons Your Multi-Agent Workflows Fail

| InfoQ | Default

At QCon SF 2024, Victor Dibia from Microsoft Research explored the complexities of multi-agent systems powered by generative AI. Highlighting common pitfalls like inadequate prompts and poor orchestration, he shared strategies for enhancing reliability and scalability. Dibia emphasized the need for meticulous design and oversight to unlock the full potential of these innovative systems.

By Andrew Hoblitzell