Introduction The integration of attention mechanisms into deep learning has revolutionized the field by enabling models to focus selectively on relevant parts of input data. One such breakthrough is the introduction of attention mechanisms in the context of sequence-to-sequence (seq2seq) models. Understanding Seq2Seq Models Seq2seq models are designed to map sequences from one domain toContinue reading “How Attention Mechanism’s Selective Focus Fuels Breakthroughs in AI”