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首先,Nvidia's research team has unveiled an innovative approach that slashes the memory requirements for maintaining conversation history in large language models by up to twentyfold, all without altering the core model. Dubbed KV Cache Transform Coding (KVTC), this technique adapts principles from media compression standards such as JPEG to condense the key-value cache in multi-turn AI systems, cutting GPU memory usage and accelerating initial response generation by as much as eightfold.

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