<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Future Economy on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/future-economy/</link><description>Recent content in Future Economy on AI VOID</description><generator>Hugo</generator><language>en</language><atom:link href="https://ai-blog.noorshomelab.dev/tags/future-economy/index.xml" rel="self" type="application/rss+xml"/><item><title>What makes an AI system an &amp;#34;agent&amp;#34;?</title><link>https://ai-blog.noorshomelab.dev/agentic-design-patern-ebook/chapters/what-makes-an-ai-system-an-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/agentic-design-patern-ebook/chapters/what-makes-an-ai-system-an-agent/</guid><description>&lt;h1 id="what-makes-an-ai-system-an-agent"&gt;What makes an AI system an Agent?&lt;/h1&gt;
&lt;p&gt;In simple terms, an &lt;strong&gt;AI agent&lt;/strong&gt; is a system designed to perceive its environment and take actions to achieve a specific goal. It&amp;rsquo;s an evolution from a standard Large Language Model (LLM), enhanced with the abilities to plan, use tools, and interact with its surroundings. Think of an Agentic AI as a smart assistant that learns on the job. It follows a simple, five-step loop to get things done (see Fig.1):&lt;/p&gt;</description></item></channel></rss>