<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Models on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/ai-models/</link><description>Recent content in AI Models on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 30 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/ai-models/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 7: Managing AI Context &amp;amp; Memory in React</title><link>https://ai-blog.noorshomelab.dev/ai-frontend-react-rn-guide-2026/07-ai-context-memory-management/</link><pubDate>Fri, 30 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-frontend-react-rn-guide-2026/07-ai-context-memory-management/</guid><description>&lt;h2 id="introduction-giving-your-ai-a-memory"&gt;Introduction: Giving Your AI a &amp;ldquo;Memory&amp;rdquo;&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 7! So far, you&amp;rsquo;ve learned how to integrate AI models and agents into your React applications, consume streaming responses, and even trigger tool calls. But have you ever noticed that sometimes, AI seems to &amp;ldquo;forget&amp;rdquo; what you just said? It&amp;rsquo;s like having a conversation where the other person only remembers your very last sentence. Frustrating, right?&lt;/p&gt;
&lt;p&gt;This chapter is all about solving that problem! We&amp;rsquo;ll explore how to give your AI-powered interfaces a true sense of &amp;ldquo;memory&amp;rdquo; and &amp;ldquo;context.&amp;rdquo; Most large language models (LLMs) are inherently stateless; each API request is treated as a brand new interaction. It&amp;rsquo;s up to &lt;em&gt;your frontend application&lt;/em&gt; to manage the conversation history and other relevant information, sending it along with each new prompt to ensure the AI understands the ongoing dialogue.&lt;/p&gt;</description></item><item><title>Chapter 10: Advanced Agent Architectures and A2UI Orchestration</title><link>https://ai-blog.noorshomelab.dev/a2ui-guide-2025/advanced-agent-architectures/</link><pubDate>Tue, 23 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/a2ui-guide-2025/advanced-agent-architectures/</guid><description>&lt;h2 id="introduction-beyond-single-agents"&gt;Introduction: Beyond Single Agents&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 10! So far, you&amp;rsquo;ve mastered the fundamentals of A2UI, learning how to build and render dynamic user interfaces driven by a single AI agent. That&amp;rsquo;s a fantastic start! But what happens when your problems become more complex, requiring multiple specialized AI agents to collaborate? Or when you need to choose between running AI models locally for privacy and cost, versus leveraging powerful cloud-based APIs for cutting-edge capabilities?&lt;/p&gt;</description></item><item><title>A Gentle Intro to Programming: Giving AI Instructions</title><link>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/gentle-programming-start/</link><pubDate>Sun, 18 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/gentle-programming-start/</guid><description>&lt;h2 id="welcome-to-your-first-steps-in-programming"&gt;Welcome to Your First Steps in Programming!&lt;/h2&gt;
&lt;p&gt;Hello, future AI explorer! You&amp;rsquo;ve done an amazing job so far, understanding what AI and Machine Learning are all about, why they&amp;rsquo;re so powerful, and how they learn from data. That&amp;rsquo;s a huge achievement, and you should be really proud!&lt;/p&gt;
&lt;p&gt;Today, we&amp;rsquo;re going to take a super exciting step: learning how to &lt;em&gt;talk&lt;/em&gt; to computers. Think of it like learning a new language. Just as you speak English (or another human language) to communicate with people, we use a special language called &amp;ldquo;programming&amp;rdquo; to give instructions to computers. This is how we&amp;rsquo;ll eventually tell our AI models what to do, what data to look at, and what predictions to make.&lt;/p&gt;</description></item></channel></rss>