<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tokens on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/tokens/</link><description>Recent content in Tokens 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/tokens/index.xml" rel="self" type="application/rss+xml"/><item><title>Context Window</title><link>https://terms-en.ai-term-hub.com/en/terms/context_window/</link><pubDate>Sat, 18 Jul 2026 07:38:44 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/context_window/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>The context window defines the operational limit of an AI model&amp;rsquo;s memory for a single interaction. It determines how much prior conversation history, document text, or input data the model can attend to when generating a response. A larger context window allows for better retention of long-range dependencies and comprehensive document analysis, but it also increases computational costs and latency. Engineers must manage this constraint to optimize performance and ensure relevant information is preserved within the model&amp;rsquo;s active attention span.&lt;/p></description></item></channel></rss>