<?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>深度学习 on Geek Hub</title><link>https://blog.geek.16775390.xyz/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/</link><description>Recent content in 深度学习 on Geek Hub</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Tue, 18 Aug 2026 13:00:00 +0800</lastBuildDate><atom:link href="https://blog.geek.16775390.xyz/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/index.xml" rel="self" type="application/rss+xml"/><item><title>大语言模型架构详解：从 Transformer 到 GPT</title><link>https://blog.geek.16775390.xyz/posts/llm-transformer-architecture/</link><pubDate>Tue, 18 Aug 2026 13:00:00 +0800</pubDate><guid>https://blog.geek.16775390.xyz/posts/llm-transformer-architecture/</guid><description>深入解析 Transformer 架构、自注意力机制、位置编码、以及从 GPT-1 到 GPT-4 的演进。</description></item></channel></rss>