Transformers, Pytorch, Machine Learning, Deep Dives, Data Science.
computationnally expensive in the sense they had to process sequences step by step, whereas Transformers only need to look once at the whole sequence, moving the time complexity from O(n) to O(1). (Vaswani et al, 2017) Applications of transformers are quite large in the domain of NLP, and include