<?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>大模型微调 on caulif的个人博客</title><link>https://caulif.com/tags/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E5%BE%AE%E8%B0%83/</link><description>Recent content in 大模型微调 on caulif的个人博客</description><generator>Hugo -- 0.154.5</generator><language>zh-cn</language><lastBuildDate>Thu, 18 Jun 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://caulif.com/tags/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E5%BE%AE%E8%B0%83/index.xml" rel="self" type="application/rss+xml"/><item><title>LoRA 学习笔记</title><link>https://caulif.com/posts/lora%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0/</link><pubDate>Thu, 18 Jun 2026 00:00:00 +0800</pubDate><guid>https://caulif.com/posts/lora%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0/</guid><description>整理 LoRA 的低秩适配原理、训练与推理流程、常见插入位置、核心超参数，以及 QLoRA、AdaLoRA、DoRA 等变体。</description></item></channel></rss>