Description
本期播客深入探讨了动态内存压缩（DMC）技术，这是一种在推理时在线压缩键值（KV）缓存的方法，旨在提高大型语言模型（LLM）的效率。通过在预训练的LLM（如Llama 2）上应用DMC，可以在不增加额外参数的情况下显著提高推理吞吐量，同时保持原始模型的下游性能。
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