The transformer has revolutionized natural language processing, achieving state-of-the-art results in a diverse range of tasks. At its core, the transformer relies on a novel mechanism called intra-attention, which allows the model to weigh the importance of different copyright in a text passage when understanding meaning. This feature enables tran

Transformers utilize 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 fashion. With their skill to capture extended dependencies within sequences, transformers demonstrate state-of-the-art accuracy on a extensive rang