<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Large Language Models | XHT | Haotian Xue - AI Research &amp; Robotics</title><link>https://xht252.github.io/tags/large-language-models/</link><atom:link href="https://xht252.github.io/tags/large-language-models/index.xml" rel="self" type="application/rss+xml"/><description>Large Language Models</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><image><url>https://xht252.github.io/media/icon_hu_1c0e9cb08cfb822a.png</url><title>Large Language Models</title><link>https://xht252.github.io/tags/large-language-models/</link></image><item><title>Llama WebGPT</title><link>https://xht252.github.io/projects/llama-webgpt/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://xht252.github.io/projects/llama-webgpt/</guid><description>&lt;p&gt;Llama WebGPT is a web application that provides an interactive frontend for a fine-tuned LLaMA large language model.&lt;/p&gt;
&lt;p&gt;The project combines a Flask backend with a frontend developed using Vue, JavaScript, and CSS.&lt;/p&gt;
&lt;h2 id="main-components"&gt;Main Components&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Flask-based web backend&lt;/li&gt;
&lt;li&gt;Vue and JavaScript frontend&lt;/li&gt;
&lt;li&gt;CSS-based interface design&lt;/li&gt;
&lt;li&gt;Integration with a fine-tuned LLaMA model&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="repository"&gt;Repository&lt;/h2&gt;
&lt;p&gt;The complete source code and project materials are available on GitHub.&lt;/p&gt;</description></item></channel></rss>