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      <title>Presentation: From Thousands to One: Building LLM-Powered Selection Systems</title>
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      <description>&lt;img src="https://res.infoq.com/presentations/architecture-patterns-llm/en/mediumimage/JendrikJordening-medium-1786535626643.jpeg"/&gt;&lt;p&gt;Jendrik Jördening shares practical engineering strategies for integrating LLMs into production pipelines. He discusses overcoming non-determinism, restricting schemas, separating semantic text extraction from deterministic code, and validating choices using discriminator models. Learn how to structure LLMs with an MVC approach to ensure database integrity, observability, and system reliability.&lt;/p&gt; &lt;i&gt;By Jendrik Jördening&lt;/i&gt;</description>
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      <category>Large language models</category>
      <category>InfoQ Dev Summit Munich 2025</category>
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      <pubDate>Mon, 17 Aug 2026 09:06:00 GMT</pubDate>
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      <dc:creator>Jendrik Jördening</dc:creator>
      <dc:date>2026-08-17T09:06:00Z</dc:date>
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      <title>Presentation: Leveraging Adversary Emulation for GenAI Red Teaming</title>
      <link>https://www.infoq.com/presentations/emulation-genai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ+Dev+Summit+Munich+2025</link>
      <description>&lt;img src="https://res.infoq.com/presentations/emulation-genai/en/mediumimage/KennedyTorkura-medium-1785396173788.jpeg"/&gt;&lt;p&gt;Kennedy Torkura discusses practical GenAI red teaming techniques to safeguard LLMs and knowledge bases against security threats like data poisoning and LLMjacking on AWS. He explains how engineering leaders and architects can bridge traditional cloud security with MITRE ATLAS frameworks to proactively identify vulnerabilities, implement guardrails, and secure production AI applications.&lt;/p&gt; &lt;i&gt;By Kennedy Torkura&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Security</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Mon, 10 Aug 2026 09:32:00 GMT</pubDate>
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      <dc:creator>Kennedy Torkura</dc:creator>
      <dc:date>2026-08-10T09:32:00Z</dc:date>
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