<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Llm on Lorbic</title><link>http://localhost:1313/tags/llm/</link><description>Recent content in Llm on Lorbic</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 02 Dec 2023 20:32:35 +0000</lastBuildDate><atom:link href="http://localhost:1313/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>Setting Up Llama 2 with Docker on Your Gaming Laptop Using Ollama</title><link>http://localhost:1313/setting-up-llama-2-with-docker-on-your-gaming-laptop-using-ollama/</link><pubDate>Sat, 02 Dec 2023 13:40:01 +0000</pubDate><guid>http://localhost:1313/setting-up-llama-2-with-docker-on-your-gaming-laptop-using-ollama/</guid><description>&lt;p>This article is simple guide on setting up Llama 2, a powerful large language model, on your gaming laptop using Docker and the Ollama platform. Ollama makes it very easy to run many LLMs locally. In this detailed article, I&amp;rsquo;ll cover each step, such as Ollama installation and ease of interaction through a Chat GPT-like UI. Before we go into the technical details, let&amp;rsquo;s understand what a large language model is.&lt;/p></description></item></channel></rss>