<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model-Tuning on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/model-tuning/</link><description>Recent content in Model-Tuning 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>Fri, 15 May 2026 13:20:20 +0100</lastBuildDate><atom:link href="http://ghafoorsblog.com/tags/model-tuning/index.xml" rel="self" type="application/rss+xml"/><item><title>Foundation Models</title><link>http://ghafoorsblog.com/courses/ibm/rag-agentic-ai-content/rag-agentic-ai-pcert/01-develop-genai-apps/01-module/002-genrative-ai-models/</link><pubDate>Wed, 19 Nov 2025 14:32:26 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/rag-agentic-ai-content/rag-agentic-ai-pcert/01-develop-genai-apps/01-module/002-genrative-ai-models/</guid><description>&lt;p class="lead text-primary"&gt;
This document examines foundation models as a transformative AI paradigm, explaining how these models are trained on vast amounts of unstructured data to perform generative tasks and can be adapted to multiple applications. The discussion covers large language models, their advantages in performance and productivity, along with critical challenges in compute costs and trustworthiness.
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&lt;h2 id="the-emergence-of-foundation-models"&gt;The Emergence of Foundation Models&lt;/h2&gt;
&lt;p&gt;Large language models such as ChatGPT have demonstrated remarkable capabilities, from creative writing to complex planning tasks. These models represent a step change in AI performance and their potential to drive enterprise value. Large language models are actually part of a different class of models called foundation models.&lt;/p&gt;</description></item></channel></rss>