<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>点积 on 标准答案</title><link>https://www.xin800.com/tags/%E7%82%B9%E7%A7%AF/</link><description>Recent content in 点积 on 标准答案</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Fri, 31 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.xin800.com/tags/%E7%82%B9%E7%A7%AF/index.xml" rel="self" type="application/rss+xml"/><item><title>Transformer 注意力整套完整流程梳理</title><link>https://www.xin800.com/post/transformer-attention-pipeline/</link><pubDate>Fri, 31 Jul 2026 00:00:00 +0000</pubDate><guid>https://www.xin800.com/post/transformer-attention-pipeline/</guid><description>从向量到QKV到点积到缩放到Softmax到加权融合，完整的Transformer注意力流程，全程业务语言，供应链案例贯穿。</description></item><item><title>点积与余弦相似度</title><link>https://www.xin800.com/post/dot-product-vs-cosine/</link><pubDate>Fri, 31 Jul 2026 00:00:00 +0000</pubDate><guid>https://www.xin800.com/post/dot-product-vs-cosine/</guid><description>通过Q-K点积自动算出任意两条业务信息之间关联程度，详解Thing、query-vector、key-vec等概念，区分点积与余弦相似度的本质差异。</description></item><item><title>点积业务场景与计算逻辑</title><link>https://www.xin800.com/post/dot-product-business/</link><pubDate>Fri, 31 Jul 2026 00:00:00 +0000</pubDate><guid>https://www.xin800.com/post/dot-product-business/</guid><description>点积是一套快速计算公式，用来衡量两组向量大方向是否一致，输出一个数字代表匹配程度，是注意力机制计算关联程度的基础运算。</description></item></channel></rss>