Transformer architectures have revolutionized the field of natural language processing (NLP) due to their superior 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 ever… Read More

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