<?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>决策 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E5%86%B3%E7%AD%96/</link><description>Recent content in 决策 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, 02 Jul 2026 10:53:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E5%86%B3%E7%AD%96/index.xml" rel="self" type="application/rss+xml"/><item><title>开源vs商业模型2026决策指南</title><link>https://guijiagi.com/posts/open-source-vs-commercial-2026/</link><pubDate>Thu, 02 Jul 2026 10:53:00 +0800</pubDate><guid>https://guijiagi.com/posts/open-source-vs-commercial-2026/</guid><description>2026年开源与商业大模型的全面对比与选型决策框架</description></item><item><title>RAG vs 微调：什么场景该用什么</title><link>https://guijiagi.com/posts/rag-vs-finetune-decision/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/rag-vs-finetune-decision/</guid><description>深入对比 RAG 与微调的技术特征、成本结构和适用场景，提供决策矩阵和混合方案建议</description></item></channel></rss>