<?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>DoRA on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/dora/</link><description>Recent content in DoRA on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 25 Jun 2026 12:00:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/dora/index.xml" rel="self" type="application/rss+xml"/><item><title>LoRA vs DoRA vs QLoRA：参数高效微调三剑客对比</title><link>https://guijiagi.com/posts/lora-vs-dora-vs-qlora/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/lora-vs-dora-vs-qlora/</guid><description>深入对比 LoRA、DoRA、QLoRA 三种参数高效微调方法的原理、数学公式、代码实现与效果差异，给出不同场景下的最佳选择建议和完整的实验数据对比。</description></item></channel></rss>