<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Chatbot on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/chatbot/</link><description>Recent content in Chatbot 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/chatbot/index.xml" rel="self" type="application/rss+xml"/><item><title>Building a Multi-LLM Chatbot (Hands-on Project)</title><link>https://ai-blog.noorshomelab.dev/any-llm-guide-2025/multi-llm-chatbot/</link><pubDate>Tue, 30 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/any-llm-guide-2025/multi-llm-chatbot/</guid><description>&lt;h2 id="building-a-multi-llm-chatbot-hands-on-project"&gt;Building a Multi-LLM Chatbot (Hands-on Project)&lt;/h2&gt;
&lt;p&gt;Welcome back, future AI architect! In this exciting chapter, we&amp;rsquo;re going to put all the pieces together and build something truly practical and engaging: a multi-LLM chatbot. This isn&amp;rsquo;t just any chatbot; it&amp;rsquo;s one that can intelligently switch between different Large Language Model (LLM) providers using &lt;code&gt;any-llm&lt;/code&gt;, leveraging their unique strengths and capabilities.&lt;/p&gt;
&lt;p&gt;By the end of this chapter, you&amp;rsquo;ll have a functional Python chatbot that demonstrates dynamic LLM provider selection, manages conversation history, and incorporates robust error handling. This hands-on project will solidify your understanding of &lt;code&gt;any-llm&lt;/code&gt;&amp;rsquo;s core features and prepare you for real-world AI application development. Ready to bring your multi-LLM vision to life? Let&amp;rsquo;s dive in!&lt;/p&gt;</description></item><item><title>Chapter 14: Project: Building an Intelligent Chat Interface</title><link>https://ai-blog.noorshomelab.dev/ai-frontend-react-rn-guide-2026/14-project-ai-chat-interface/</link><pubDate>Fri, 30 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-frontend-react-rn-guide-2026/14-project-ai-chat-interface/</guid><description>&lt;h2 id="introduction-your-first-intelligent-chat-project"&gt;Introduction: Your First Intelligent Chat Project!&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 14! So far, we&amp;rsquo;ve explored the foundational concepts of integrating AI into frontend applications, from understanding prompt engineering to managing AI state and implementing essential guardrails. Now, it&amp;rsquo;s time to put that knowledge into action and build something truly interactive and exciting: an intelligent chat interface.&lt;/p&gt;
&lt;p&gt;This chapter will guide you through the creation of a fully functional chat application using React Native. Our focus will be strictly on the UI-side integration, demonstrating how your frontend consumes AI model responses, manages conversation flow, and provides a smooth user experience. You&amp;rsquo;ll learn how to handle streaming AI responses, manage chat history as context, and ensure a responsive UI, all while reinforcing best practices for client-side AI consumption. Get ready to transform theoretical knowledge into practical, tangible results!&lt;/p&gt;</description></item></channel></rss>