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	<title>Language Models &#8211; shbytes.com</title>
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		<title>Recurrent Neural Networks (RNNs) &#8211; Language Models</title>
		<link>https://shbytes.com/recurrent-neural-networks-rnns-language-models/</link>
					<comments>https://shbytes.com/recurrent-neural-networks-rnns-language-models/#respond</comments>
		
		<dc:creator><![CDATA[Payal Academy]]></dc:creator>
		<pubDate>Thu, 07 Nov 2024 02:25:17 +0000</pubDate>
				<category><![CDATA[02.Language Models]]></category>
		<category><![CDATA[Language Models]]></category>
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					<description><![CDATA[<p>What are RNNs (Recurrent Neural Networks) Recurrent Neural Networks, or RNNs, are variants of artificial neural networks. They have been designed for processing sequential data. Other than the conventional feed-forward&#8230;</p>
<p>The post <a rel="nofollow" href="https://shbytes.com/recurrent-neural-networks-rnns-language-models/">Recurrent Neural Networks (RNNs) &#8211; Language Models</a> appeared first on <a rel="nofollow" href="https://shbytes.com">shbytes.com</a>.</p>
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		<title>What are N-Gram Models &#8211; Language Models</title>
		<link>https://shbytes.com/what-are-n-gram-models-language-models/</link>
					<comments>https://shbytes.com/what-are-n-gram-models-language-models/#respond</comments>
		
		<dc:creator><![CDATA[Payal Academy]]></dc:creator>
		<pubDate>Thu, 07 Nov 2024 02:12:06 +0000</pubDate>
				<category><![CDATA[02.Language Models]]></category>
		<category><![CDATA[Language Models]]></category>
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					<description><![CDATA[<p>N-Gram Models N-Gram models are a fundamental type of language model in Natural Language Processing (NLP). These models predict the probability of a sequence of words with regard to the&#8230;</p>
<p>The post <a rel="nofollow" href="https://shbytes.com/what-are-n-gram-models-language-models/">What are N-Gram Models &#8211; Language Models</a> appeared first on <a rel="nofollow" href="https://shbytes.com">shbytes.com</a>.</p>
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