<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Accuracy on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/accuracy/</link><description>Recent content in Accuracy 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/accuracy/index.xml" rel="self" type="application/rss+xml"/><item><title>Grounding</title><link>https://terms-en.ai-term-hub.com/en/terms/grounding/</link><pubDate>Sat, 18 Jul 2026 10:00:30 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/grounding/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>In AI, grounding refers to linking symbolic representations or generated text to concrete real-world entities, data, or sensory experiences. For language models, this often involves Retrieval-Augmented Generation (RAG), where the model retrieves factual information from external databases to ground its responses in verified data rather than relying solely on internal weights. In robotics, grounding connects language commands to physical actions or sensor inputs, ensuring the AI understands the context of its environment.&lt;/p></description></item></channel></rss>