<?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 AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/peft/</link><description>Recent content in PEFT on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 17 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/peft/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 10: Fine-Tuning Large Language Models (LLMs)</title><link>https://ai-blog.noorshomelab.dev/ai-ml-career-path-2026/fine-tuning-llms/</link><pubDate>Sat, 17 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-ml-career-path-2026/fine-tuning-llms/</guid><description>&lt;h2 id="chapter-10-fine-tuning-large-language-models-llms"&gt;Chapter 10: Fine-Tuning Large Language Models (LLMs)&lt;/h2&gt;
&lt;h3 id="introduction"&gt;Introduction&lt;/h3&gt;
&lt;p&gt;Welcome to Chapter 10, where we unlock the incredible power of Large Language Models (LLMs) by teaching them new tricks! You&amp;rsquo;ve already built a strong foundation in deep learning, understood neural network architectures, and learned how to train and evaluate models. Now, imagine taking a highly intelligent, pre-trained LLM and making it even smarter for &lt;em&gt;your specific needs&lt;/em&gt;. That&amp;rsquo;s exactly what fine-tuning allows us to do.&lt;/p&gt;</description></item></channel></rss>