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Decoupling the "Thinker" from the "Editor" in image editing allows targeted optimization of reasoning, leading to performance competitive with strong proprietary models using a fixed generative model.
TPGO allows multi-agent systems to learn from their own optimization history, leading to unprecedented self-improvement in performance.
