<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Abstraction Layer on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/abstraction-layer/</link><description>Recent content in Abstraction Layer on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 30 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/abstraction-layer/index.xml" rel="self" type="application/rss+xml"/><item><title>Getting Started with any-llm</title><link>https://ai-blog.noorshomelab.dev/any-llm-guide-2025/getting-started/</link><pubDate>Tue, 30 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/any-llm-guide-2025/getting-started/</guid><description>&lt;h2 id="welcome-to-the-world-of-any-llm"&gt;Welcome to the World of any-llm!&lt;/h2&gt;
&lt;p&gt;Hello, future AI architect! Are you ready to streamline your interactions with large language models (LLMs) and free yourself from provider-specific complexities? You&amp;rsquo;ve come to the right place! In this chapter, we&amp;rsquo;re going to embark on an exciting journey with &lt;strong&gt;any-llm&lt;/strong&gt;, a powerful Python library developed by Mozilla.ai. It&amp;rsquo;s designed to give you a single, unified interface to communicate with a multitude of LLM providers, whether they&amp;rsquo;re running in the cloud or locally on your machine.&lt;/p&gt;</description></item></channel></rss>