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New agent framework matches human-engineered AI systems — and adds zero inference cost to deploy
A new group-evolving agent framework from UC Santa Barbara matches human-engineered AI systems on SWE-bench — and adds zero ...
Abstract: This study addresses the challenges of limited adaptability in conventional distributed control strategies for multi-agent systems operating in dynamic environments. We propose a novel ...
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