Transformer architectures have revolutionized the field of natural language processing (NLP) due to their remarkable ability to capture long-range dependencies within text. Unlike traditional recurrent neural networks (RNNs), which process information sequentially, transformers leverage a mechanism called self-attention to weigh the relevance of ev… Read More

Transformers have emerged as a revolutionary paradigm in the field of natural language processing (NLP). These systems leverage attention mechanisms to process and understand language in an unprecedented fashion. With their ability to capture distant dependencies within sentences, transformers have achieved state-of-the-art performance on a extensi… Read More