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    <title>links.lmorchard.com - #word2vec</title>
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    <description>Recent bookmarks tagged #word2vec</description>
    <lastBuildDate>Mon, 02 Nov 2026 08:25:01 +0000</lastBuildDate>
    <item>
      <title>The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time.</title>
      <link>https://jalammar.github.io/illustrated-word2vec/</link>
      <description>I hope that you now have a sense for word embeddings and the word2vec algorithm. I also hope that now when you read a paper mentioning “skip gram with negative sampling” (SGNS) (like the recommendation system papers at the top), that you have a better sense for these concepts.&lt;br/&gt;&#xA;&lt;p&gt;&lt;strong&gt;Tags:&lt;/strong&gt; #ai #genai #llm #ml #word2vec&lt;/p&gt;</description>
      <pubDate>Thu, 28 Nov 2024 18:35:10 +0000</pubDate>
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      <category>ai</category>
      <category>genai</category>
      <category>llm</category>
      <category>ml</category>
      <category>word2vec</category>
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