<?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>领域大模型 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E9%A2%86%E5%9F%9F%E5%A4%A7%E6%A8%A1%E5%9E%8B/</link><description>Recent content in 领域大模型 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>Sat, 27 Jun 2026 15:00:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E9%A2%86%E5%9F%9F%E5%A4%A7%E6%A8%A1%E5%9E%8B/index.xml" rel="self" type="application/rss+xml"/><item><title>领域适配微调方案</title><link>https://guijiagi.com/posts/domain-adaptation-finetuning/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/domain-adaptation-finetuning/</guid><description>从通用大模型到领域专家的微调方案，数据构建、训练策略与效果评估全流程</description></item></channel></rss>