The architecture has revolutionized natural language processing, achieving state-of-the-art results in a wide variety of tasks. At its core, the transformer relies on a novel mechanism called query attention, which allows the model to weigh the significance of different copyright in a sequence when understanding meaning. This feature enables transf… Read More

Transformers have emerged as a revolutionary paradigm in the field of natural language processing (NLP). These architectures leverage attention mechanisms to process and understand text in an unprecedented way. With their ability to capture long-range dependencies within sequences, transformers demonstrate state-of-the-art performance on a broad ra… Read More