<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Open Source on XiDao 技术博客</title><link>https://blog.xidao.online/tags/open-source/</link><description>Recent content in Open Source on XiDao 技术博客</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><copyright>© 2026 XiDao</copyright><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.xidao.online/tags/open-source/index.xml" rel="self" type="application/rss+xml"/><item><title>2026 Open Source LLM Landscape: Llama 4, Qwen 3, Mistral &amp; the Rise of Open Models</title><link>https://blog.xidao.online/en/posts/2026-open-source-llm-landscape/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-open-source-llm-landscape/</guid><description>&lt;h2 class="relative group"&gt;Introduction: 2026 — The Golden Age of Open Source LLMs
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&lt;p&gt;The development of open source large language models (LLMs) in 2026 has exceeded all expectations. Just two years ago, the industry was still debating whether open source models could catch up to GPT-4. Today, that question has been completely rewritten — &lt;strong&gt;open source models haven&amp;rsquo;t just caught up; in many critical areas, they&amp;rsquo;ve surpassed their closed-source counterparts&lt;/strong&gt;.&lt;/p&gt;</description></item><item><title>2026年开源大模型格局：Llama 4、Qwen 3、Mistral最新进展全面解析</title><link>https://blog.xidao.online/posts/2026-open-source-llm-landscape/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/posts/2026-open-source-llm-landscape/</guid><description>&lt;h2 class="relative group"&gt;引言：2026年，开源大模型正式进入「黄金时代」
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&lt;p&gt;2026年，开源大语言模型（LLM）的发展速度超出了所有人的预期。就在两年前，业界还在讨论&amp;quot;开源模型能否追上GPT-4&amp;quot;；如今，这个命题已被彻底改写——&lt;strong&gt;开源模型不仅追上了闭源模型，在多个关键领域甚至实现了超越&lt;/strong&gt;。&lt;/p&gt;</description></item></channel></rss>