<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM Basics on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/llm-basics/</link><description>Recent content in LLM Basics 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/llm-basics/index.xml" rel="self" type="application/rss+xml"/><item><title>Knowledge Cutoff</title><link>https://terms-en.ai-term-hub.com/en/terms/knowledge_cutoff/</link><pubDate>Sat, 18 Jul 2026 10:03:41 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/knowledge_cutoff/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>The knowledge cutoff date defines the temporal boundary of a language model&amp;rsquo;s training data. Any information, events, or developments that occurred after this date are generally unknown to the model unless accessed via external tools like web search. This concept is crucial for users to understand the limitations of the model&amp;rsquo;s static knowledge base, ensuring that responses regarding recent news or latest statistics are interpreted with caution or supplemented by real-time data sources.&lt;/p></description></item></channel></rss>