<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Azure OpenAI on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/azure-openai/</link><description>Recent content in Azure OpenAI on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/azure-openai/index.xml" rel="self" type="application/rss+xml"/><item><title>Your Agent&amp;#39;s Brain: Connecting to Large Language Models</title><link>https://ai-blog.noorshomelab.dev/agentic-ai-guide-2026/llm-as-agent-brain/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/agentic-ai-guide-2026/llm-as-agent-brain/</guid><description>&lt;h2 id="your-agents-brain-connecting-to-large-language-models"&gt;Your Agent&amp;rsquo;s Brain: Connecting to Large Language Models&lt;/h2&gt;
&lt;p&gt;Welcome back, future agent architect! In the previous chapter (we assume you&amp;rsquo;ve covered the basics of what an autonomous agent is), we explored the grand vision of AI agents that can think, act, and learn. But how do these agents actually &lt;em&gt;think&lt;/em&gt;? What gives them the ability to understand complex instructions, reason through problems, and generate coherent responses?&lt;/p&gt;
&lt;p&gt;The answer, for most modern agentic systems, lies with &lt;strong&gt;Large Language Models (LLMs)&lt;/strong&gt;. Think of an LLM as the highly intelligent, incredibly versatile &amp;ldquo;brain&amp;rdquo; of your agent. This chapter will be your deep dive into understanding how LLMs power agent intelligence, how your agent communicates with them, and how to make your very first connection. Get ready to give your agent its first spark of cognitive ability!&lt;/p&gt;</description></item></channel></rss>