<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fine-Tuning on 111qqz的小窝</title><link>https://111qqz.com/tags/fine-tuning/</link><description>Recent content in Fine-Tuning on 111qqz的小窝</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><managingEditor>hust.111qqz@gmail.com (111qqz)</managingEditor><webMaster>hust.111qqz@gmail.com (111qqz)</webMaster><copyright>© 2011-2026 111qqz</copyright><lastBuildDate>Wed, 11 Nov 2026 22:40:00 +0800</lastBuildDate><atom:link href="https://111qqz.com/tags/fine-tuning/index.xml" rel="self" type="application/rss+xml"/><item><title>LoRA：为什么低秩更新足以微调大模型？</title><link>https://111qqz.com/2026/11/lora-low-rank-adaptation/</link><pubDate>Wed, 11 Nov 2026 22:40:00 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/2026/11/lora-low-rank-adaptation/</guid><description>&lt;p&gt;&lt;a href="https://111qqz.com/2026/11/gaussian-elimination-to-rank-low-rank/" &gt;上一篇&lt;/a&gt;从高斯消元推到了低秩分解，最后用 LoRA 举了个例子——\(\Delta W = BA\)。当时想清楚的是数学层面为什么两个小矩阵可以代替一个大矩阵，但 LoRA 本身没有展开。&lt;/p&gt;</description></item></channel></rss>