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LLMs struggle to reliably apply skills, with performance varying significantly based on the agent harness used, challenging assumptions about their capability.
ADaPT enables a single model to flexibly navigate the efficiency-performance trade-off, achieving significant cost savings without sacrificing reasoning quality.
