Encoder-decoder-architecture

Unveiling the Power of the Transformer Model: Revolutionizing NLP with Attention Mechanisms and Enhanced Parallelization

The Transformer model revolutionizes sequence transduction by using attention mechanisms instead of recurrent or convolutional networks, achieving superior translation performance and broad applicability across tasks, thanks to its efficient and robust design.