Transformers are a class of deep neural networks that have achieved state-of-the-art results across a wide range of domains, including natural language processing, computer vision, and computational biology. The widespread success of these models has been attributed to the attention mechanism, which identifies complex dependencies between elements of each input sequence. While the attention mechanism is incredibly...
Abstract