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	<title>LLM &#8211; shbytes.com</title>
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	<description>Empowering IT career, one byte at a time</description>
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		<title>Transformer Architecture &#8211; How Transformers Work</title>
		<link>https://shbytes.com/transformer-architecture-how-transformers-work/</link>
					<comments>https://shbytes.com/transformer-architecture-how-transformers-work/#respond</comments>
		
		<dc:creator><![CDATA[Payal Academy]]></dc:creator>
		<pubDate>Mon, 08 Sep 2025 00:35:21 +0000</pubDate>
				<category><![CDATA[LLM]]></category>
		<guid isPermaLink="false">https://shbytes.com/?p=4434</guid>

					<description><![CDATA[<p>The Transformer is a more advanced architecture for neural networks. This was first introduced in 2017 article by Google, entitled &#8220;Attention is All You Need&#8220;. Transformer architecture was designed to&#8230;</p>
<p>The post <a rel="nofollow" href="https://shbytes.com/transformer-architecture-how-transformers-work/">Transformer Architecture &#8211; How Transformers Work</a> appeared first on <a rel="nofollow" href="https://shbytes.com">shbytes.com</a>.</p>
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		<title>Introduction to Feedforward Neural Network &#8211; Comprehensive Tutorial</title>
		<link>https://shbytes.com/introduction-to-feedforward-neural-network/</link>
					<comments>https://shbytes.com/introduction-to-feedforward-neural-network/#respond</comments>
		
		<dc:creator><![CDATA[Payal Academy]]></dc:creator>
		<pubDate>Wed, 27 Nov 2024 16:04:59 +0000</pubDate>
				<category><![CDATA[06.Neural Network Foundations]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[Neural Network Foundations]]></category>
		<guid isPermaLink="false">https://shbytes.com/?p=5272</guid>

					<description><![CDATA[<p>Artificial Neural Networks (ANNs) The introduction of Artificial Neural Networks (ANNs) into machine learning has been a game changer as they have proven to be effective tools for pattern recognition,&#8230;</p>
<p>The post <a rel="nofollow" href="https://shbytes.com/introduction-to-feedforward-neural-network/">Introduction to Feedforward Neural Network &#8211; Comprehensive Tutorial</a> appeared first on <a rel="nofollow" href="https://shbytes.com">shbytes.com</a>.</p>
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		<title>Simplifying Lemmatization in Text Processing – Complete Tutorial (with Programs)</title>
		<link>https://shbytes.com/lemmatization-in-text-processing/</link>
					<comments>https://shbytes.com/lemmatization-in-text-processing/#respond</comments>
		
		<dc:creator><![CDATA[Payal Academy]]></dc:creator>
		<pubDate>Mon, 25 Nov 2024 16:07:05 +0000</pubDate>
				<category><![CDATA[05.LLM Text Preprocessing]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[LLM Text Preprocessing]]></category>
		<guid isPermaLink="false">https://shbytes.com/?p=4874</guid>

					<description><![CDATA[<p>Introduction to Lemmatization in Text Processing Lemmatization in text processing is an important technique in natural language processing (NLP). Similar to stemming, lemmatization works to transform every word into its&#8230;</p>
<p>The post <a rel="nofollow" href="https://shbytes.com/lemmatization-in-text-processing/">Simplifying Lemmatization in Text Processing – Complete Tutorial (with Programs)</a> appeared first on <a rel="nofollow" href="https://shbytes.com">shbytes.com</a>.</p>
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		<title>Understanding and Implementing Stemming in Text Processing</title>
		<link>https://shbytes.com/stemming-in-text-processing/</link>
					<comments>https://shbytes.com/stemming-in-text-processing/#comments</comments>
		
		<dc:creator><![CDATA[Payal Academy]]></dc:creator>
		<pubDate>Mon, 25 Nov 2024 15:24:51 +0000</pubDate>
				<category><![CDATA[05.LLM Text Preprocessing]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[LLM Text Preprocessing]]></category>
		<guid isPermaLink="false">https://shbytes.com/?p=4868</guid>

					<description><![CDATA[<p>Introduction to Stemming in Text Processing Stemming is one of the critical text pre-processing technique in Natural Language Processing (NLP) and for Large Language Models (LLMs). Stemming refers to a&#8230;</p>
<p>The post <a rel="nofollow" href="https://shbytes.com/stemming-in-text-processing/">Understanding and Implementing Stemming in Text Processing</a> appeared first on <a rel="nofollow" href="https://shbytes.com">shbytes.com</a>.</p>
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		<title>Normalization in Text Preprocessing for LLMs &#8211; Complete Tutorial (with Programs)</title>
		<link>https://shbytes.com/normalization-in-text-preprocessing-for-llms/</link>
					<comments>https://shbytes.com/normalization-in-text-preprocessing-for-llms/#respond</comments>
		
		<dc:creator><![CDATA[Payal Academy]]></dc:creator>
		<pubDate>Mon, 25 Nov 2024 15:00:00 +0000</pubDate>
				<category><![CDATA[05.LLM Text Preprocessing]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[LLM Text Preprocessing]]></category>
		<guid isPermaLink="false">https://shbytes.com/?p=4806</guid>

					<description><![CDATA[<p>Text Preprocessing for LLMs Preprocessing is an important step to make the raw text ready for the LLM models like ChatGPT and BERT, which take structured input to produce coherent&#8230;</p>
<p>The post <a rel="nofollow" href="https://shbytes.com/normalization-in-text-preprocessing-for-llms/">Normalization in Text Preprocessing for LLMs &#8211; Complete Tutorial (with Programs)</a> appeared first on <a rel="nofollow" href="https://shbytes.com">shbytes.com</a>.</p>
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		<item>
		<title>Understanding Sentence and Document Embeddings in NLP</title>
		<link>https://shbytes.com/sentence-and-document-embeddings-in-nlp/</link>
					<comments>https://shbytes.com/sentence-and-document-embeddings-in-nlp/#respond</comments>
		
		<dc:creator><![CDATA[Payal Academy]]></dc:creator>
		<pubDate>Sat, 09 Nov 2024 01:21:11 +0000</pubDate>
				<category><![CDATA[04.LLM Embeddings]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[LLM Embeddings]]></category>
		<guid isPermaLink="false">https://shbytes.com/?p=4741</guid>

					<description><![CDATA[<p>What is Sentence and Document Embeddings Sentence and document embeddings are at the core of Natural Language Processing (NLP). These embeddings are represented in a close real-valued vectors format and&#8230;</p>
<p>The post <a rel="nofollow" href="https://shbytes.com/sentence-and-document-embeddings-in-nlp/">Understanding Sentence and Document Embeddings in NLP</a> appeared first on <a rel="nofollow" href="https://shbytes.com">shbytes.com</a>.</p>
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		<item>
		<title>Understanding Static Word Embeddings in NLP &#8211; A Complete Guide</title>
		<link>https://shbytes.com/static-word-embeddings-in-nlp/</link>
					<comments>https://shbytes.com/static-word-embeddings-in-nlp/#respond</comments>
		
		<dc:creator><![CDATA[Payal Academy]]></dc:creator>
		<pubDate>Sat, 09 Nov 2024 01:05:05 +0000</pubDate>
				<category><![CDATA[04.LLM Embeddings]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[LLM Embeddings]]></category>
		<guid isPermaLink="false">https://shbytes.com/?p=4692</guid>

					<description><![CDATA[<p>Static word embeddings is one of the approach to word representation in natural language processing (NLP). In this word embedding each word is represented as a single, fixed vector, independent&#8230;</p>
<p>The post <a rel="nofollow" href="https://shbytes.com/static-word-embeddings-in-nlp/">Understanding Static Word Embeddings in NLP &#8211; A Complete Guide</a> appeared first on <a rel="nofollow" href="https://shbytes.com">shbytes.com</a>.</p>
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		<item>
		<title>Natural Language Processing (NLP) &#8211; Comprehensive Guide</title>
		<link>https://shbytes.com/natural-language-processing-nlp-comprehensive-guide/</link>
					<comments>https://shbytes.com/natural-language-processing-nlp-comprehensive-guide/#respond</comments>
		
		<dc:creator><![CDATA[Payal Academy]]></dc:creator>
		<pubDate>Thu, 07 Nov 2024 02:38:39 +0000</pubDate>
				<category><![CDATA[03.Natural Language Processing]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[Natural Language Processing]]></category>
		<guid isPermaLink="false">https://shbytes.com/?p=4462</guid>

					<description><![CDATA[<p>Natural Language Processing (NLP) is a technology in the artificial intelligence domain that involves interaction between human communication and machines understanding. It empowers machines to process human languages in a&#8230;</p>
<p>The post <a rel="nofollow" href="https://shbytes.com/natural-language-processing-nlp-comprehensive-guide/">Natural Language Processing (NLP) &#8211; Comprehensive Guide</a> appeared first on <a rel="nofollow" href="https://shbytes.com">shbytes.com</a>.</p>
]]></description>
		
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		<item>
		<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>
		<category><![CDATA[LLM]]></category>
		<guid isPermaLink="false">https://shbytes.com/?p=4415</guid>

					<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>
]]></description>
		
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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>
		<category><![CDATA[LLM]]></category>
		<guid isPermaLink="false">https://shbytes.com/?p=4408</guid>

					<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>
]]></description>
		
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