<?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>Transformer on caulif的个人博客</title><link>https://caulif.com/tags/transformer/</link><description>Recent content in Transformer on caulif的个人博客</description><generator>Hugo -- 0.154.5</generator><language>zh-cn</language><lastBuildDate>Wed, 28 Jan 2026 16:34:21 +0800</lastBuildDate><atom:link href="https://caulif.com/tags/transformer/index.xml" rel="self" type="application/rss+xml"/><item><title>Transformer 学习记录</title><link>https://caulif.com/posts/transfromer%E5%AD%A6%E4%B9%A0%E8%AE%B0%E5%BD%95/</link><pubDate>Wed, 28 Jan 2026 16:34:21 +0800</pubDate><guid>https://caulif.com/posts/transfromer%E5%AD%A6%E4%B9%A0%E8%AE%B0%E5%BD%95/</guid><description>基于 llama2.c 的 run.c 源码注释，梳理 Decoder-only Transformer 的推理流程、RoPE、Attention、FFN、采样和 BPE。</description></item></channel></rss>