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    <title>InfoQ - Model Fine Tuning</title>
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      <title>Google OpenRL is an Experimental Self-hosted API for LLM Post-Training Fine-Tuning</title>
      <link>https://www.infoq.com/news/2026/06/google-open-rl-fine-tuning/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Fine+Tuning</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/google-open-rl-fine-tuning/en/headerimage/google-open-rl-fine-tuning-1782322457170.jpeg"/&gt;&lt;p&gt;Google's GKE Labs has introduced OpenRL, an open-source project that provides a self-hosted API for post-training and fine-tuning Large Language Models (LLMs) on standard Kubernetes clusters.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>Google</category>
      <category>Open Source</category>
      <category>Model Fine Tuning</category>
      <category>Large language models</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 24 Jun 2026 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/google-open-rl-fine-tuning/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Fine+Tuning</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-06-24T18:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/google-open-rl-fine-tuning/en</dc:identifier>
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