<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Software Engineering - News</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Software Engineering News feed</description>
    <item>
      <title>OpenAI at QCon AI NYC: Fine Tuning the Enterprise</title>
      <link>https://www.infoq.com/news/2025/12/qcon-openai-rft/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Engineering-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;At QCon AI NYC 2025, Will Hang from OpenAI unveiled Agent RFT—a cutting-edge reinforcement fine-tuning approach for tool-using agents. By optimizing prompts and tasks before model adjustments, Hang showcased effective strategies to enhance decision-making and efficiency, emphasizing a balanced grading system. The session revealed a future where smarter agents reduce latency and improve outcomes.&lt;/p&gt; &lt;i&gt;By Andrew Hoblitzell&lt;/i&gt;</description>
      <category>QCon Software Development Conference</category>
      <category>QCon AI 2025</category>
      <category>Software Engineering</category>
      <category>OpenAI</category>
      <category>Model Fine Tuning</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 17 Dec 2025 19:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2025/12/qcon-openai-rft/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Engineering-news</guid>
      <dc:creator>Andrew Hoblitzell</dc:creator>
      <dc:date>2025-12-17T19:25:00Z</dc:date>
      <dc:identifier>/news/2025/12/qcon-openai-rft/en</dc:identifier>
    </item>
  </channel>
</rss>
