<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Artificial Intelligence on Techetio</title><link>https://techetio.com/tag/artificial-intelligence/</link><description>Recent content in Artificial Intelligence on Techetio</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 15 Jan 2024 19:30:55 +0000</lastBuildDate><atom:link href="https://techetio.com/tag/artificial-intelligence/index.xml" rel="self" type="application/rss+xml"/><item><title>How To: Running Your Own Large Language Model On Linux</title><link>https://techetio.com/2024/01/15/how-to-running-your-own-large-language-model-on-linux/</link><pubDate>Mon, 15 Jan 2024 19:30:55 +0000</pubDate><guid>https://techetio.com/2024/01/15/how-to-running-your-own-large-language-model-on-linux/</guid><description>&lt;p&gt;With the recent advent of large language models, the open source community has done what they tend to do quite often, and they created their own. There are all sorts of tools out there for running your own large language models, and all sorts of pretrained models that you can use out of the box or even build on top of. I&amp;rsquo;ll be going over the easiest way (updated and still accurate for 2025) to run your own large language model on your own computer.&lt;/p&gt;</description></item></channel></rss>