<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Evaluation Techniques on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/evaluation-techniques/</link><description>Recent content in Evaluation Techniques on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 18 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/evaluation-techniques/index.xml" rel="self" type="application/rss+xml"/><item><title>Evaluation: Is Our AI Doing a Good Job?</title><link>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/checking-ai-performance/</link><pubDate>Sun, 18 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/checking-ai-performance/</guid><description>&lt;h2 id="chapter-9-evaluation-is-our-ai-doing-a-good-job"&gt;Chapter 9: Evaluation: Is Our AI Doing a Good Job?&lt;/h2&gt;
&lt;p&gt;Welcome back, future AI wizard! You&amp;rsquo;ve already come so far! We&amp;rsquo;ve talked about what AI and Machine Learning are, how they learn from data (that&amp;rsquo;s the &amp;ldquo;training&amp;rdquo; part!), and how they use what they&amp;rsquo;ve learned to make predictions. That&amp;rsquo;s fantastic progress!&lt;/p&gt;
&lt;p&gt;Today, we&amp;rsquo;re going to tackle a super important question: How do we know if our AI is actually &lt;em&gt;good&lt;/em&gt; at its job? Just like a student takes a test after studying, an AI needs to be &amp;ldquo;tested&amp;rdquo; to see how well it learned. This process is called &lt;strong&gt;evaluation&lt;/strong&gt;.&lt;/p&gt;</description></item></channel></rss>