<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PEFT on Text Matrix</title><link>https://txtmix.com/tags/peft/</link><description>Recent content in PEFT on Text Matrix</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Tue, 21 Jul 2026 20:06:14 +0800</lastBuildDate><atom:link href="https://txtmix.com/tags/peft/index.xml" rel="self" type="application/rss+xml"/><item><title>Mind Lab 四件套深度解读：LoRA 持续学习如何从「廉价平替」变成智能体基础设施</title><link>https://txtmix.com/posts/tech/mindlab-continual-learning-lora-2026/</link><pubDate>Tue, 02 Jun 2026 15:15:00 +0800</pubDate><guid>https://txtmix.com/posts/tech/mindlab-continual-learning-lora-2026/</guid><description>&lt;h1 id="mind-lab-四件套深度解读lora-持续学习如何从廉价平替变成智能体基础设施">Mind Lab 四件套深度解读：LoRA 持续学习如何从「廉价平替」变成智能体基础设施&lt;/h1>
&lt;h2 id="一核心判断">一、核心判断&lt;/h2>
&lt;p>2026 年 6 月 2 日，机器之心转载了 Mind Lab 连续发布的 LoRA / PEFT 研究进展。这家归属于 Mindverse（心洲科技）的实验室在不到一个月内放出了四块拼图：&lt;/p></description></item></channel></rss>