深度学习attention机制中的Q,K,V分别是从哪来的？ - 知乎
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甚至，我觉得Memory Networks的思想后面启发了self-attention和transformer。最重要的就是提出了query - key - value思想，当时的该模型聚焦的任务主要是question answering，先用输入的问题query检索key-value memories，找到和问题相似的memory的key，计算相关性分数，然后对value embedding ...
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