TRANSFORMERS: A DEEP DIVE

The groundbreaking architecture, referred to as Transformers, has significantly impacted the landscape of NLP . Originally introduced in 2017, these frameworks leverage a mechanism called self-attention to effectively process complete inputs simultaneously, in contrast to recurrent networks that