<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>NVIDIA on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/nvidia/</link><description>Recent content in NVIDIA on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/nvidia/index.xml" rel="self" type="application/rss+xml"/><item><title>Dataset:Nvidia/Helpsteer2</title><link>https://terms-en.ai-term-hub.com/en/terms/datasetnvidiahelpsteer2/</link><pubDate>Sat, 18 Jul 2026 09:53:59 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/datasetnvidiahelpsteer2/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Helpsteer2 is a curated dataset released by NVIDIA that contains pairwise comparisons of responses generated by large language models. It focuses on multi-dimensional human preferences, such as helpfulness, honesty, and harmlessness. The dataset is primarily used to train reward models that guide the fine-tuning of LLMs via Reinforcement Learning from Human Feedback (RLHF). Its structured annotations allow researchers to evaluate and improve model alignment with human values effectively.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A high-quality dataset of human preferences designed specifically for training reward models in reinforcement learning from human feedback.&lt;/p></description></item></channel></rss>