AgentFlow lets small models outperform large ones via specialized roles
TheZachMueller · x · 2026-08-26
Stanford, Texas A&M, UC San Diego, and Lambda released AgentFlow, a trainable agentic system. It splits tasks across specialized roles and uses a planner to choose tools in a shared loop. The Flow-GRPO method updates the planner turn-by-turn, learning which tool calls lead to success, allowing small models to surpass larger ones with the right setup.
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