<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Autoregressive on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/autoregressive/</link><description>Recent content in Autoregressive on Ghafoor's Personal Blog</description><generator>Hugo</generator><language>en</language><managingEditor>noreply@example.com (AG Sayyed)</managingEditor><webMaster>noreply@example.com (AG Sayyed)</webMaster><copyright>Copyright © 2024-2026 AG Sayyed. All Rights Reserved.</copyright><lastBuildDate>Sat, 16 May 2026 17:42:12 +0100</lastBuildDate><atom:link href="http://ghafoorsblog.com/tags/autoregressive/index.xml" rel="self" type="application/rss+xml"/><item><title>Generative AI Models</title><link>http://ghafoorsblog.com/courses/ibm/ai-developer-content/ai-developer-pcert/02-introduction-to-ai/02-module/008-generative-ai-models/</link><pubDate>Fri, 11 Jul 2025 01:56:35 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/ai-developer-content/ai-developer-pcert/02-introduction-to-ai/02-module/008-generative-ai-models/</guid><description>&lt;p class="lead text-primary"&gt;
Generative AI models are a class of artificial intelligence systems that learn from large datasets to create new content, such as text, images, music, and video. This document explores the main types of generative models, their architectures, and real-world applications, including unimodal and multimodal approaches.
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&lt;h2 id="introduction-to-generative-ai-models"&gt;Introduction to Generative AI Models&lt;/h2&gt;
&lt;p&gt;Generative AI models are designed to mimic human creativity by generating new data based on patterns learned from existing datasets. These models use machine learning and deep learning algorithms to produce original content in various formats.&lt;/p&gt;</description></item></channel></rss>