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	<id>https://marovi.ai/index.php?action=history&amp;feed=atom&amp;title=Translations%3AEfficient_Estimation_of_Word_Representations%2F30%2Fen</id>
	<title>Translations:Efficient Estimation of Word Representations/30/en - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://marovi.ai/index.php?action=history&amp;feed=atom&amp;title=Translations%3AEfficient_Estimation_of_Word_Representations%2F30%2Fen"/>
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	<updated>2026-04-28T03:28:15Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://marovi.ai/index.php?title=Translations:Efficient_Estimation_of_Word_Representations/30/en&amp;diff=13736&amp;oldid=prev</id>
		<title>FuzzyBot: Importing a new version from external source</title>
		<link rel="alternate" type="text/html" href="https://marovi.ai/index.php?title=Translations:Efficient_Estimation_of_Word_Representations/30/en&amp;diff=13736&amp;oldid=prev"/>
		<updated>2026-04-27T21:40:21Z</updated>

		<summary type="html">&lt;p&gt;Importing a new version from external source&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 21:40, 27 April 2026&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot;&gt;Line 1:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 1:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;The models directly influenced subsequent work on embeddings, including GloVe, FastText, and contextual embeddings like ELMo and BERT. While static word vectors have been largely superseded by contextual representations from large language models, Word2Vec remains a foundational reference point and is still used in applications where computational efficiency is paramount.&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;The models directly influenced subsequent work on &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;{{Term|embedding|&lt;/ins&gt;embeddings&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;}}&lt;/ins&gt;, including GloVe, FastText, and contextual &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;{{Term|embedding|&lt;/ins&gt;embeddings&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;}} &lt;/ins&gt;like ELMo and BERT. While static word vectors have been largely superseded by contextual representations from large language models, Word2Vec remains a foundational reference point and is still used in applications where computational efficiency is paramount.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>FuzzyBot</name></author>
	</entry>
	<entry>
		<id>https://marovi.ai/index.php?title=Translations:Efficient_Estimation_of_Word_Representations/30/en&amp;diff=3129&amp;oldid=prev</id>
		<title>FuzzyBot: Importing a new version from external source</title>
		<link rel="alternate" type="text/html" href="https://marovi.ai/index.php?title=Translations:Efficient_Estimation_of_Word_Representations/30/en&amp;diff=3129&amp;oldid=prev"/>
		<updated>2026-04-27T00:32:02Z</updated>

		<summary type="html">&lt;p&gt;Importing a new version from external source&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;The models directly influenced subsequent work on embeddings, including GloVe, FastText, and contextual embeddings like ELMo and BERT. While static word vectors have been largely superseded by contextual representations from large language models, Word2Vec remains a foundational reference point and is still used in applications where computational efficiency is paramount.&lt;/div&gt;</summary>
		<author><name>FuzzyBot</name></author>
	</entry>
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