<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM on Pengcheng's Blog</title><link>https://pengchengneo.github.io/tags/llm/</link><description>Recent content in LLM on Pengcheng's Blog</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><copyright>© 2026 Pengcheng</copyright><lastBuildDate>Tue, 06 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://pengchengneo.github.io/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>FineWeb 简体中文版：大规模提炼网页以获取优质文本数据</title><link>https://pengchengneo.github.io/posts/fineweb-cn/</link><pubDate>Tue, 06 Oct 2026 00:00:00 +0000</pubDate><guid>https://pengchengneo.github.io/posts/fineweb-cn/</guid><description>FineWeb 长篇技术报告简体中文版，保留正文、插图和交互图表，涵盖网页文本提取、过滤、MinHash 去重、消融实验和 FineWeb-Edu。</description></item><item><title>Ultra-Scale Playbook 简体中文版：在 GPU 集群上训练大语言模型</title><link>https://pengchengneo.github.io/posts/ultrascale-playbook-cn/</link><pubDate>Tue, 06 Oct 2026 00:00:00 +0000</pubDate><guid>https://pengchengneo.github.io/posts/ultrascale-playbook-cn/</guid><description>Ultra-Scale Playbook 简体中文交互版，包含完整章节、附录和 16 个互动实验，覆盖 DP、TP、SP、CP、PP、EP、GPU 内核与混合精度。</description></item><item><title>How to Scale Your Model：大模型扩展完整指南</title><link>https://pengchengneo.github.io/posts/scaling-book-cn/</link><pubDate>Wed, 29 Apr 2026 00:00:00 +0000</pubDate><guid>https://pengchengneo.github.io/posts/scaling-book-cn/</guid><description>《How to Scale Your Model》完整中文翻译，覆盖 Roofline 分析、TPU/GPU 架构、分片矩阵乘法、Transformer 并行策略、LLaMA 训练与推理、性能分析等全部内容</description></item></channel></rss>