<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM Post-Training on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/llm-post-training/</link><description>Recent content in LLM Post-Training on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 30 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/llm-post-training/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 2: Setting Up Your Tunix Environment</title><link>https://ai-blog.noorshomelab.dev/tunix-mastery-2026/02-environment-setup/</link><pubDate>Fri, 30 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/tunix-mastery-2026/02-environment-setup/</guid><description>&lt;h2 id="chapter-2-setting-up-your-tunix-environment"&gt;Chapter 2: Setting Up Your Tunix Environment&lt;/h2&gt;
&lt;p&gt;Welcome back, future LLM post-training expert! In Chapter 1, we explored the &amp;ldquo;why&amp;rdquo; and &amp;ldquo;what&amp;rdquo; of Tunix. Now, it&amp;rsquo;s time to roll up our sleeves and get your development environment ready. A well-configured environment is the bedrock of any successful machine learning project, especially when dealing with powerful libraries like JAX and Tunix.&lt;/p&gt;
&lt;p&gt;This chapter will guide you through the essential steps to set up your system, from establishing an isolated Python environment to installing Tunix and its core dependencies. We&amp;rsquo;ll cover everything you need to start experimenting and building with confidence. By the end, you&amp;rsquo;ll have a fully functional workspace, ready for your exciting journey into LLM post-training.&lt;/p&gt;</description></item></channel></rss>