<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Module-5 on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/courses/ibm/ai-developer-content/ai-developer-pcert/02-introduction-to-ai/05-module/</link><description>Recent content in Module-5 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><atom:link href="http://ghafoorsblog.com/courses/ibm/ai-developer-content/ai-developer-pcert/02-introduction-to-ai/05-module/index.xml" rel="self" type="application/rss+xml"/><item><title>Agentic Action</title><link>http://ghafoorsblog.com/courses/ibm/ai-developer-content/ai-developer-pcert/02-introduction-to-ai/05-module/004-action/</link><pubDate>Thu, 31 Jul 2025 11:16:39 +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/05-module/004-action/</guid><description>&lt;h2 id="actions-taken-by-the-agent"&gt;Actions taken by the Agent&lt;/h2&gt;
&lt;p&gt;Even though actions are taken, how these actions are performed is crucial. The agent follows a structured approach to execute tasks effectively. The action to take can be specified in &lt;code&gt;JSON&lt;/code&gt; format, which allows the agent to understand the task and execute it accordingly where both parts are separated by a Key value pair. The agent can also use tools to perform actions, which are defined in the &lt;code&gt;tools&lt;/code&gt; section of the JSON. Such an example of an action is shown below:&lt;/p&gt;</description></item><item><title>Agents Revisited</title><link>http://ghafoorsblog.com/courses/ibm/ai-developer-content/ai-developer-pcert/02-introduction-to-ai/05-module/002-agents-revisited/</link><pubDate>Tue, 29 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/02-introduction-to-ai/05-module/002-agents-revisited/</guid><description>&lt;p class="lead text-primary"&gt;
This document provides a clear, practical overview of AI agents, explaining their core functions, how they differ from general AI, their workflow, and the massive impact they are expected to have on business and daily life. Readers will understand the agent paradigm and its real-world applications.
&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;AI agents are poised to become as ubiquitous as apps, with the potential for billions of agents operating worldwide. These digital assistants are expected to outnumber people and transform industries by automating tasks and enabling new skills.&lt;/p&gt;</description></item><item><title>Hugging Face</title><link>http://ghafoorsblog.com/courses/ibm/ai-developer-content/ai-developer-pcert/02-introduction-to-ai/05-module/001-hugging-face/</link><pubDate>Tue, 29 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/02-introduction-to-ai/05-module/001-hugging-face/</guid><description>&lt;p class="lead text-primary"&gt;
This document provides a practical overview of Hugging Face, covering its open-source AI model hub, datasets, Spaces, and hands-on steps to build and customize AI applications using shared code, APIs, and community resources. Readers will learn how to explore, deploy, and adapt AI tools for various tasks.
&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;&lt;a
 href="https://huggingface.co/"
 
 target="_blank" rel="noopener noreferrer"&gt;Hugging Face&lt;/a&gt; is a leading open-source AI community and platform, serving as a global hub for large language models and AI tools. It hosts over 1.5 million open-source models from organizations such as Meta, Google, DeepSeek, and Alibaba. The platform enables users to explore, deploy, and customize AI models and applications with ease.&lt;/p&gt;</description></item></channel></rss>