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      <title>Presentation: Designing Fast, Delightful UX with LLMs for Mobile Frontends</title>
      <link>https://www.infoq.com/presentations/llm-mobile-frontend/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Mobile-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/llm-mobile-frontend/en/mediumimage/bala-medium-1789631604448.jpeg"/&gt;&lt;p&gt;Balakrishnan Ramdoss discusses how to architect production-grade, AI-powered conversational apps at scale. He explains how to overcome model latency, leverage server-driven UI and Backend-for-Frontend patterns to dynamically render multi-modal interfaces, optimize prompts for UI selection, and integrate low-latency, privacy-first on-device AI for mobile applications.&lt;/p&gt; &lt;i&gt;By Balakrishnan Ramdoss&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>QCon San Francisco 2025</category>
      <category>Mobile</category>
      <category>Artificial Intelligence</category>
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      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Thu, 24 Sep 2026 09:24:00 GMT</pubDate>
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      <dc:creator>Balakrishnan Ramdoss</dc:creator>
      <dc:date>2026-09-24T09:24:00Z</dc:date>
      <dc:identifier>/presentations/llm-mobile-frontend/en</dc:identifier>
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