<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Code-Generation on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/code-generation/</link><description>Recent content in Code-Generation 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/code-generation/index.xml" rel="self" type="application/rss+xml"/><item><title>Capabilities of Generative AI</title><link>http://ghafoorsblog.com/courses/ibm/ai-developer-content/ai-developer-pcert/03-generative-ai-introduction-and-applications/01-module/002-capabilites-of-gai/</link><pubDate>Sun, 13 Jul 2025 00:00:00 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/ai-developer-content/ai-developer-pcert/03-generative-ai-introduction-and-applications/01-module/002-capabilites-of-gai/</guid><description>&lt;p class="lead text-primary"&gt;
This document provides an in-depth overview of the key capabilities of Generative AI, including text, image, audio, video, code, and data generation, as well as the creation of immersive virtual worlds. It also delves into recent advancements like multimodal AI and AI agents, and explores how these technologies are reshaping industries from drug discovery to software development.
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&lt;h2 id="overview-of-generative-ai-capabilities"&gt;Overview of Generative AI Capabilities&lt;/h2&gt;
&lt;p&gt;Generative AI encompasses a wide range of capabilities that enable machines to create content and data across multiple modalities. These capabilities are transforming industries by automating creative, analytical, and technical tasks. Essentially, whatever the human mind is capable of conceiving is a potential use case for the application of generative AI.&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.
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&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>