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大规模语言模型服务的高效内存管理与 PagedAttention

💡 原文中文，约200字，阅读约需1分钟。

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内容提要

该文介绍了一种基于键值记忆的注意力机制模型，用于神经机器翻译。该模型通过维护键内存和固定值内存之间的转换和迭代交互，以便在每个解码步骤时，可以关注更合适的源单词来预测下一个目标单词，从而提高翻译的适用性。

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