<?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>成本分析 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E6%88%90%E6%9C%AC%E5%88%86%E6%9E%90/</link><description>Recent content in 成本分析 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>Sun, 28 Jun 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E6%88%90%E6%9C%AC%E5%88%86%E6%9E%90/index.xml" rel="self" type="application/rss+xml"/><item><title>大模型微调成本分析：LoRA/QLoRA/全参数的费用对比</title><link>https://guijiagi.com/posts/finetuning-cost-analysis-lora-qlora-full-parameter/</link><pubDate>Sun, 28 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/finetuning-cost-analysis-lora-qlora-full-parameter/</guid><description>深入分析三种主流微调方法的成本结构，涵盖显存、计算、存储和部署的全面费用对比</description></item></channel></rss>