<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LoRA on 南巷</title><link>https://nx.wmlab.top/tags/lora/</link><description>Recent content in LoRA 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>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://nx.wmlab.top/tags/lora/index.xml" rel="self" type="application/rss+xml"/><item><title>CodeLab-LLaMA2 / 星语 MoE：大模型训练实践</title><link>https://nx.wmlab.top/portfolio/xingyu-moe/</link><pubDate>Wed, 15 Apr 2026 00:00:00 +0000</pubDate><author>liuwenhao1968@163.com (南巷)</author><guid>https://nx.wmlab.top/portfolio/xingyu-moe/</guid><description>围绕 LLaMA2 内部原理与工程实现，系统拆解架构、组件、预训练、SFT、LoRA、推理与 RAG/Agent，形成从理论到应用的大模型学习与实现闭环。</description></item><item><title>星语 Vision：自研多模态大模型</title><link>https://nx.wmlab.top/portfolio/xingyu-vision/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><author>liuwenhao1968@163.com (南巷)</author><guid>https://nx.wmlab.top/portfolio/xingyu-vision/</guid><description>基于 CLIP 视觉编码器和文本 Transformer 的图像-文本联合推理系统，完成多模态最小可验证闭环。</description></item></channel></rss>