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1. Introduction The introduction of transformer architecture has revolutionized the field of Natural Language Processing (NLP) by providing an efficient and effective way to model natural language, leveraging self-attention mechanisms and parallel processing capabilities for improved performance, addressing the challenge of capturing relationships between distant words.
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Kowshik Bhowmik 1,* and Anca Ralescu 2 1 The College of Wooster, Mathematical and Computational Sciences, Wooster, OH 44691, USA 2 Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH 45221, USA * Author to whom correspondence should be addressed.
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