The groundbreaking architecture, referred to as Transformers, has fundamentally altered the landscape of NLP . Originally presented in 2017, these systems leverage a mechanism known self-attention to skillfully process entire sequences simultaneously, in contrast to recurrent networks that analyz… Read More