<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: Myles Dear</title>
    <description>The latest articles on DEV Community by Myles Dear (@mdear).</description>
    <link>https://dev.to/mdear</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1012992%2Fe98c69db-a2c2-4c3a-af50-18ece4d4839a.jpeg</url>
      <title>DEV Community: Myles Dear</title>
      <link>https://dev.to/mdear</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/mdear"/>
    <language>en</language>
    <item>
      <title>Inceptive techniques to pull summaries and e-learning out of vocational training video series</title>
      <dc:creator>Myles Dear</dc:creator>
      <pubDate>Sat, 21 Dec 2024 15:22:31 +0000</pubDate>
      <link>https://dev.to/mdear/inceptive-techniques-to-pull-summaries-and-e-learning-out-of-vocational-training-video-series-25eo</link>
      <guid>https://dev.to/mdear/inceptive-techniques-to-pull-summaries-and-e-learning-out-of-vocational-training-video-series-25eo</guid>
      <description>&lt;p&gt;Hello, &lt;/p&gt;

&lt;p&gt;I wanted to share the result of a four month exercise in taming Anthropic Claude Sonnet 3.5 (after migrating from the "AI on steroids" Gpt4o.&lt;/p&gt;

&lt;p&gt;The project is to summarize and pull e-learning content out of a series of thousands of vocational training videos in the wheelchair and mobility device custom seating vertical using multimodal inference.&lt;/p&gt;

&lt;p&gt;Although there is room for improvement on the foundation model side, I think the output I'm getting is finally salable.  I'm seeing brief glimmers of excellence and mostly acceptable output.  Like working with a petulant teenager, sometimes the AI gets sullen and refuses to work, sometimes it does something completely different than what I asked it to do, mostly it gets it right enough, and sometimes (rarely but consistently) it comes up with fantastic and brilliant insights.&lt;/p&gt;

&lt;p&gt;I have open-sourced my inference management logic, because using the raw API wasn't cutting it when I had to create long summaries of structured summarized video content (I use inceptive techniques where I prepare a prompt to run inference that writes a script that creates a prompt to run inference to produce part of an overall result, then I write multilevel merge logic to make sure I catch everything useful coming back from the AI and assemble it into a larger more cohesive output.  The AI is really bad at knowing when it is actually done, so I've had to go through some backflips here.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://gist.github.com/mdear/4cd8ee0bfb807840c64b34a6569a8949" rel="noopener noreferrer"&gt;https://gist.github.com/mdear/4cd8ee0bfb807840c64b34a6569a8949&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;a href="https://ai.stackexchange.com/questions/40753/how-to-generate-original-training-videos-based-on-existing-videoset" rel="noopener noreferrer"&gt;https://ai.stackexchange.com/questions/40753/how-to-generate-original-training-videos-based-on-existing-videoset&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;a href="https://readmultiplex.com" rel="noopener noreferrer"&gt;https://readmultiplex.com&lt;/a&gt; &lt;/p&gt;

</description>
      <category>anthropic</category>
      <category>ai</category>
    </item>
  </channel>
</rss>
