<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Models on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/models/</link><description>Recent content in Models 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/models/index.xml" rel="self" type="application/rss+xml"/><item><title>Models: AI&amp;#39;s Rulebook or Mental Map</title><link>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/how-ai-models-learn/</link><pubDate>Sun, 18 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/how-ai-models-learn/</guid><description>&lt;h2 id="models-ais-rulebook-or-mental-map"&gt;Models: AI&amp;rsquo;s Rulebook or Mental Map&lt;/h2&gt;
&lt;p&gt;Welcome back, future AI explorer! You&amp;rsquo;re doing an absolutely fantastic job diving into the exciting world of Artificial Intelligence and Machine Learning. In our last chat, we talked all about &lt;strong&gt;Data&lt;/strong&gt; – the raw ingredients that AI uses to learn. Today, we&amp;rsquo;re going to tackle another super important piece of the puzzle: &lt;strong&gt;Models&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;Think of a model as AI&amp;rsquo;s very own &amp;ldquo;rulebook&amp;rdquo; or &amp;ldquo;mental map.&amp;rdquo; Just like you build a mental map of your neighborhood to navigate, or learn a set of rules for a game, AI builds a model to understand patterns and make decisions. This chapter is all about understanding what these &amp;ldquo;models&amp;rdquo; are, how they come to be, and why they&amp;rsquo;re so crucial for AI to do anything useful. No coding needed yet – we&amp;rsquo;re still building that rock-solid foundation of understanding!&lt;/p&gt;</description></item><item><title>Core Concepts: Pipelines and Models</title><link>https://ai-blog.noorshomelab.dev/transformers-js-guide/core-concepts-pipelines-and-models/</link><pubDate>Sun, 26 Oct 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/transformers-js-guide/core-concepts-pipelines-and-models/</guid><description>&lt;h1 id="2-core-concepts-pipelines-and-models"&gt;2. Core Concepts: Pipelines and Models&lt;/h1&gt;
&lt;p&gt;In Transformers.js, the &lt;code&gt;pipeline&lt;/code&gt; function is your primary entry point for using pre-trained machine learning models. It abstracts away much of the complexity, allowing you to focus on the task at hand rather than the intricate details of model architecture, tokenization, or post-processing.&lt;/p&gt;
&lt;p&gt;This chapter will dive deep into understanding what pipelines are, how to use them, and the crucial role of models within these pipelines.&lt;/p&gt;</description></item></channel></rss>