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    <title>Pipeline Conversations - Episodes Tagged with “Engineering”</title>
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    <pubDate>Thu, 15 Sep 2022 10:00:00 +0200</pubDate>
    <description>Pipeline Conversations brings you interviews with platform engineers, ML practitioners, and technical leaders building production AI systems. We dig into the real challenges of MLOps and LLMOps: orchestrating complex workflows on Kubernetes, fine-tuning and evaluating models at scale, and shipping AI that actually works. From ZenML.
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    <itunes:subtitle>MLOps and LLMOps, from the trenches</itunes:subtitle>
    <itunes:author>ZenML GmbH</itunes:author>
    <itunes:summary>Pipeline Conversations brings you interviews with platform engineers, ML practitioners, and technical leaders building production AI systems. We dig into the real challenges of MLOps and LLMOps: orchestrating complex workflows on Kubernetes, fine-tuning and evaluating models at scale, and shipping AI that actually works. From ZenML.
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  <title>Data-centric Computer Vision with Eric Landau</title>
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  <pubDate>Thu, 15 Sep 2022 10:00:00 +0200</pubDate>
  <author>ZenML GmbH</author>
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  <itunes:subtitle>This week I spoke with Eric Landau, co-founder of Encord, a platform for data-centric computer vision. This podcast contains a lot of geekery about annotation, and even though Encord aren't an annotation tool per se, Eric and his team have tackled a bunch of quite complicated problems relating to that domain.</itunes:subtitle>
  <itunes:duration>51:51</itunes:duration>
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  <description>This week I spoke with Eric Landau, co-founder of Encord, a platform for data-centric computer vision. This podcast contains a lot of geekery about annotation, and even though Encord aren't an annotation tool per se, Eric and his team have tackled a bunch of quite complicated problems relating to that domain.
We also discuss the much-used term 'data-centric AI' and consider where it's useful and where perhaps there's a little bit of hype. We also get into some of the technical tradeoffs and decisions that come when building a platform. I'm really excited to get to present this episode to you today as I really enjoyed the discussion. Special Guest: Eric Landau.
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  <itunes:keywords>computer-vision, data-centric-ai, machine-learning, annotation, engineering</itunes:keywords>
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    <![CDATA[<p>This week I spoke with Eric Landau, co-founder of Encord, a platform for data-centric computer vision. This podcast contains a lot of geekery about annotation, and even though Encord aren&#39;t an annotation tool per se, Eric and his team have tackled a bunch of quite complicated problems relating to that domain.</p>

<p>We also discuss the much-used term &#39;data-centric AI&#39; and consider where it&#39;s useful and where perhaps there&#39;s a little bit of hype. We also get into some of the technical tradeoffs and decisions that come when building a platform. I&#39;m really excited to get to present this episode to you today as I really enjoyed the discussion.</p><p>Special Guest: Eric Landau.</p><p>Links:</p><ul><li><a title="Eric Landau (LinkedIn)" rel="nofollow" href="https://www.linkedin.com/in/eric-landau-40992ab0/">Eric Landau (LinkedIn)</a></li><li><a title="Encord | The platform for data-centric computer vision" rel="nofollow" href="https://encord.com/">Encord | The platform for data-centric computer vision</a></li><li><a title="Encord blog" rel="nofollow" href="https://blog.encord.com/">Encord blog</a></li><li><a title="Encord (Github)" rel="nofollow" href="https://github.com/encord-team">Encord (Github)</a></li><li><a title="Encord (@encord_team) / Twitter" rel="nofollow" href="https://twitter.com/encord_team">Encord (@encord_team) / Twitter</a></li></ul>]]>
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    <![CDATA[<p>This week I spoke with Eric Landau, co-founder of Encord, a platform for data-centric computer vision. This podcast contains a lot of geekery about annotation, and even though Encord aren&#39;t an annotation tool per se, Eric and his team have tackled a bunch of quite complicated problems relating to that domain.</p>

<p>We also discuss the much-used term &#39;data-centric AI&#39; and consider where it&#39;s useful and where perhaps there&#39;s a little bit of hype. We also get into some of the technical tradeoffs and decisions that come when building a platform. I&#39;m really excited to get to present this episode to you today as I really enjoyed the discussion.</p><p>Special Guest: Eric Landau.</p><p>Links:</p><ul><li><a title="Eric Landau (LinkedIn)" rel="nofollow" href="https://www.linkedin.com/in/eric-landau-40992ab0/">Eric Landau (LinkedIn)</a></li><li><a title="Encord | The platform for data-centric computer vision" rel="nofollow" href="https://encord.com/">Encord | The platform for data-centric computer vision</a></li><li><a title="Encord blog" rel="nofollow" href="https://blog.encord.com/">Encord blog</a></li><li><a title="Encord (Github)" rel="nofollow" href="https://github.com/encord-team">Encord (Github)</a></li><li><a title="Encord (@encord_team) / Twitter" rel="nofollow" href="https://twitter.com/encord_team">Encord (@encord_team) / Twitter</a></li></ul>]]>
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