<?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>预训练 on caulif的个人博客</title><link>https://www.caulif.com/tags/%E9%A2%84%E8%AE%AD%E7%BB%83/</link><description>Recent content in 预训练 on caulif的个人博客</description><generator>Hugo -- 0.154.5</generator><language>zh-CN</language><lastBuildDate>Sat, 05 Sep 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://www.caulif.com/tags/%E9%A2%84%E8%AE%AD%E7%BB%83/index.xml" rel="self" type="application/rss+xml"/><item><title>LLM 训练全流程</title><link>https://www.caulif.com/posts/llm%E8%AE%AD%E7%BB%83%E5%85%A8%E6%B5%81%E7%A8%8B/</link><pubDate>Sat, 05 Sep 2026 00:00:00 +0800</pubDate><guid>https://www.caulif.com/posts/llm%E8%AE%AD%E7%BB%83%E5%85%A8%E6%B5%81%E7%A8%8B/</guid><description>从数据、预训练、持续训练到后训练、部署与持续学习，梳理大模型训练与交付的完整流程。</description></item></channel></rss>