<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>article Open vs Proprietary Large Language Models in Databricks TV</title>
    <link>https://community.databricks.com/t5/databricks-tv/open-vs-proprietary-large-language-models/ba-p/72502</link>
    <description>&lt;P&gt;&lt;IFRAME src="https://www.youtube.com/embed/itlnPATatNA?si=BX1zDsBVMNsSlNB3" width="560" height="315" frameborder="0" allowfullscreen="" title="YouTube video player" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin"&gt;&lt;/IFRAME&gt;&lt;/P&gt;</description>
    <pubDate>Fri, 14 Jun 2024 17:25:39 GMT</pubDate>
    <dc:creator>lara_rachidi</dc:creator>
    <dc:date>2024-06-14T17:25:39Z</dc:date>
    <item>
      <title>Open vs Proprietary Large Language Models</title>
      <link>https://community.databricks.com/t5/databricks-tv/open-vs-proprietary-large-language-models/ba-p/72502</link>
      <description>&lt;P&gt;&lt;SPAN&gt;In this video, we explore the pros and cons of using open vs proprietary LLMs. As always, don't forget to like and hit that subscribe button if you haven't already! &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Have a great day, &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Lara &amp;amp; Maria&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 14 Jun 2024 17:25:39 GMT</pubDate>
      <guid>https://community.databricks.com/t5/databricks-tv/open-vs-proprietary-large-language-models/ba-p/72502</guid>
      <dc:creator>lara_rachidi</dc:creator>
      <dc:date>2024-06-14T17:25:39Z</dc:date>
    </item>
  </channel>
</rss>

