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    <title>InfoQ - Climate Change - Presentations</title>
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      <title>Presentation: How Green is Green: LLMs to Understand Climate Disclosure at Scale</title>
      <link>https://www.infoq.com/presentations/rag-llm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Climate+Change-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/rag-llm/en/mediumimage/leo-browning-medium-1741333444936.jpeg"/&gt;&lt;p&gt;Leo Browning explains the journey of developing a RAG system at a climate-focused startup. He shares insights on overcoming challenges in applying LLMs to a complex domain, focusing on accuracy, auditability, and scalability. He covers the evolution of search techniques, the role of human-in-the-loop workflows, and strategies for optimizing RAG systems for real-world financial applications.&lt;/p&gt; &lt;i&gt;By Leo Browning&lt;/i&gt;</description>
      <category>Climate Change</category>
      <category>Machine Learning</category>
      <category>Large language models</category>
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      <pubDate>Tue, 22 Apr 2025 10:07:00 GMT</pubDate>
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      <dc:creator>Leo Browning</dc:creator>
      <dc:date>2025-04-22T10:07:00Z</dc:date>
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