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Flash Mem by Zengchang Qin is a document available to read on EtoBox.

The document introduces FlashMem, a framework designed to enhance the memory mechanisms of Large Language Models (LLMs) for improved performance in complex tasks. By utilizing computation reuse and a Shared-KV architecture, FlashMem distills latent memory directly from the agent

Author
Zengchang Qin
Language
EN