Understanding Sequence-to-Sequence (Seq2Seq) Models and their Significance

Introduction

Everton Gomede, PhD

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In recent years, the field of natural language processing (NLP) has witnessed remarkable advancements, and one of the prominent breakthroughs is the development of Sequence-to-Sequence (Seq2Seq) models. Seq2Seq models have revolutionized various NLP tasks by enabling the transformation of sequences from one domain to another, offering solutions to machine translation, text summarization, speech recognition, and more. This essay aims to delve into the intricacies of Seq2Seq models…

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Everton Gomede, PhD

Postdoctoral Fellow Computer Scientist at the University of British Columbia creating innovative algorithms to distill complex data into actionable insights.