<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Llm on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/llm/</link><description>Recent content in Llm 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>Mon, 18 May 2026 05:04:32 +0100</lastBuildDate><atom:link href="http://ghafoorsblog.com/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>Hallucination in Large Language Models</title><link>http://ghafoorsblog.com/courses/ibm/ai-developer-content/ai-developer-pcert/02-introduction-to-ai/04-module/003-hallucination/</link><pubDate>Fri, 11 Jul 2025 15:54:06 +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/04-module/003-hallucination/</guid><description>&lt;p class="lead text-primary"&gt;
This document explores hallucination in large language models (LLMs), including what it is, why it occurs, the types of hallucinations, and actionable steps to reduce fabricated or inaccurate outputs in AI-generated content.
&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Large language models (LLMs) like ChatGPT and Bing Chat can generate fluent, coherent text on many topics, but they are also prone to hallucination—producing plausible-sounding but incorrect or fabricated information. Understanding and minimizing hallucination is essential for trustworthy AI.&lt;/p&gt;</description></item><item><title>Large Language Models</title><link>http://ghafoorsblog.com/courses/ibm/ai-developer-content/ai-developer-pcert/02-introduction-to-ai/02-module/009-large-language-models/</link><pubDate>Fri, 11 Jul 2025 02:06:56 +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/009-large-language-models/</guid><description>&lt;p class="lead text-primary"&gt;
Large language models (LLMs) are advanced AI systems trained on massive datasets to generate and understand human language. This document explores the foundation model paradigm, generative capabilities, and the impact of LLMs in business and technology, including prompting, tuning, and transfer learning.
&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="introduction-to-large-language-models"&gt;Introduction to Large Language Models&lt;/h2&gt;
&lt;p&gt;Large language models (LLMs) are a type of foundation model designed to process and generate natural language. Unlike traditional AI models trained for specific tasks, LLMs are trained on vast amounts of unstructured data, enabling them to perform a wide range of language-related tasks.&lt;/p&gt;</description></item><item><title>OpenWebUI</title><link>http://ghafoorsblog.com/posts/ai/open-web-ui/</link><pubDate>Sun, 11 May 2025 15:00:53 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/posts/ai/open-web-ui/</guid><description>&lt;p class="lead text-primary"&gt; OpenWebUI transforms how you interact with your local language models, providing a sleek, feature-rich interface that makes working with models like Llama, Mistral, and others both powerful and intuitive. &lt;/p&gt;
&lt;h2 id="what-is-openwebui"&gt;What is OpenWebUI&lt;/h2&gt;
&lt;p&gt;OpenWebUI is an open-source, browser-based graphical user interface designed specifically for interacting with local large language models (LLMs), particularly those running through Ollama. It provides a ChatGPT-like experience for your self-hosted AI models, combining the privacy benefits of running local models with the usability of commercial AI platforms.&lt;/p&gt;</description></item><item><title>How to Run Private LLMs on Your Own Hardware</title><link>http://ghafoorsblog.com/posts/ai/install-ollama/</link><pubDate>Sat, 10 May 2025 23:19:42 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/posts/ai/install-ollama/</guid><description>&lt;p class="lead text-primary"&gt; Learn how to run powerful uncensored language models completely offline on affordable hardware for enhanced privacy and unrestricted access to information. &lt;/p&gt;
&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Welcome to the Global Science Network! I&amp;rsquo;m going to show you how to download and run a large language model that was trained on what would be equivalent to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Reading 127 million novels&lt;/li&gt;
&lt;li&gt;Reading through all of Wikipedia 2,500 times&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The best part? This model can be downloaded and run on an external flash drive that costs around $12. The model only requires about 10GB of storage space.&lt;/p&gt;</description></item><item><title>Large Language Models</title><link>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/14-generative-ai/01-module/003-llm/</link><pubDate>Wed, 20 Nov 2024 04:53:16 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/14-generative-ai/01-module/003-llm/</guid><description>&lt;p class="lead text-primary"&gt;
This document explores Large Language Models, their architecture, applications in software development, and the ethical considerations and risks associated with their use.
&lt;/p&gt;
&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Large Language Models (LLMs) are advanced AI systems trained on extensive datasets to understand and generate natural language. Their capabilities and applications in software development are transforming the industry by automating tasks, enhancing productivity, and improving code quality. This document explores the characteristics, popular LLMs, applications, capabilities, ethical considerations, and future trends of LLMs in software development.&lt;/p&gt;</description></item></channel></rss>