<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PyTorch on 南巷</title><link>https://nx.wmlab.top/tags/pytorch/</link><description>Recent content in PyTorch on 南巷</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>liuwenhao1968@163.com (南巷)</managingEditor><webMaster>liuwenhao1968@163.com (南巷)</webMaster><copyright>© 2026 南巷</copyright><lastBuildDate>Sun, 14 Jun 2026 17:52:46 +0800</lastBuildDate><atom:link href="https://nx.wmlab.top/tags/pytorch/index.xml" rel="self" type="application/rss+xml"/><item><title>LLaMA 2 预训练流程</title><link>https://nx.wmlab.top/blog/llama2-pretraining-process/</link><pubDate>Sun, 14 Jun 2026 17:52:46 +0800</pubDate><author>liuwenhao1968@163.com (南巷)</author><guid>https://nx.wmlab.top/blog/llama2-pretraining-process/</guid><description>从数据集构建、样本切分、词表处理、模型输入到训练循环，梳理 LLaMA 2 预训练的核心流程。</description></item><item><title>LLaMA 2 动手实现</title><link>https://nx.wmlab.top/blog/llama2-hands-on-implementation/</link><pubDate>Sun, 14 Jun 2026 17:52:34 +0800</pubDate><author>liuwenhao1968@163.com (南巷)</author><guid>https://nx.wmlab.top/blog/llama2-hands-on-implementation/</guid><description>围绕 LLaMA 2 的数据集、Tokenizer、模型结构与训练代码，记录从原理拆解到工程实现的完整实践过程。</description></item></channel></rss>