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      <title>Podcast: How to Build Effective LLMs When Both Basic Infrastructure and Model Training Data Are Lacking</title>
      <link>https://www.infoq.com/podcasts/build-effective-llms-infrastructure-data/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Machine+Learning-podcasts</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/build-effective-llms-infrastructure-data/en/smallimage/the-infoq-podcast-logo-thumbnail-1746514066863.jpg"/&gt;&lt;p&gt;Olimpiu Pop discusses with Jade Abbott, CTO and co-founder of Lelapa AI, how basic infrastructure scarcities found on the African continent can ignite innovation and help push forward the AI space. Particularly when dealing with never-written languages, you need to be innovative to generate proper data and divide the problem into minor problems that can be solved with fewer intensive resources.&lt;/p&gt; &lt;i&gt;By Jade Abbott&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>Ethical AI</category>
      <category>Machine Learning</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>podcast</category>
      <pubDate>Mon, 12 May 2025 11:00:00 GMT</pubDate>
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      <dc:creator>Jade Abbott</dc:creator>
      <dc:date>2025-05-12T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/build-effective-llms-infrastructure-data/en</dc:identifier>
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