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      <title>Context Language Models: Self-Managing Context to Improve Performance and Reduce Compute Costs</title>
      <link>https://www.infoq.com/news/2026/10/context-language-models/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Context+Engineering-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/context-language-models/en/headerimage/gemini-agentic-vision-1791724239724.jpg"/&gt;&lt;p&gt;Researchers from Meta, MIT, and the University of Washington introduce Context Language Models (CLMs), a new approach that enables language models to manage and edit their own context rather than relying on predefined mechanisms for summarization, compression, and information retrieval, reporting substantial gains in both performance and computational efficiency.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Context Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
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      <pubDate>Sun, 11 Oct 2026 14:00:00 GMT</pubDate>
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      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-10-11T14:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/context-language-models/en</dc:identifier>
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