Demystifying Sequence-to-Sequence Architecture and the Attention Mechanism
In the landscape of Natural Language Processing (NLP) and Artificial Intelligence, the ability to translate languages, summarize articles, and generate conversational responses has undergone a revolution. At the heart of this transformation lies the Sequence-to-Sequence (Seq2Seq) architecture and the pioneering Attention Mechanism.
Before the advent of modern Transformers, these two innovations solved one of deep learning’s greatest challenges: mapping input sequences to output sequences when their lengths differ.
Seq2Seq
Attention Mechanism
Deep Learning
NLP
Artificial Intelligence