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Forget static memory鈥擬emHarness reconstructs past experiences to fit the present context, dramatically boosting decision-making performance in LLM agents.
Achieving $O(W)$ storage efficiency and high cache hit rates in a large-scale LLM serving system could redefine performance benchmarks for hybrid architectures in production.
A lightweight proxy model can efficiently discover high-reward behaviors, enabling significant performance boosts in stronger LLMs without the computational burden of traditional methods.
