<?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 | Zhang Handuo's Site</title><link>https://handuo.top/tags/large-language-models/</link><atom:link href="https://handuo.top/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><lastBuildDate>Sun, 29 Dec 2024 00:00:00 +0000</lastBuildDate><image><url>https://handuo.top/media/icon_hu_39ba2e8de423d957.png</url><title>Large Language Models</title><link>https://handuo.top/tags/large-language-models/</link></image><item><title>Watt Tool-Use Post-Training</title><link>https://handuo.top/project/watt-tool-use/</link><pubDate>Sun, 29 Dec 2024 00:00:00 +0000</pubDate><guid>https://handuo.top/project/watt-tool-use/</guid><description>&lt;p&gt;At Watt, I led the tool-calling roadmap for a Llama 3.3-70B model. We fine-tuned it for parallel function calls and multi-turn instruction following. The model reached No. 1 on Berkeley&amp;rsquo;s Function-Calling Leaderboard V3 in December 2024.&lt;/p&gt;
&lt;p&gt;The surrounding workflow supported more than 200 tools. On a 1,000-task multi-step evaluation, task completion improved from 70% to 90%.&lt;/p&gt;</description></item></channel></rss>