Transformer

A Transformer is a type of deep learning model that handles sequences of data, such as natural language, without requiring the data to be processed in order. It uses mechanisms called attention and self-attention to weigh the importance of different words in a sentence, allowing it to generate more contextually relevant outputs. Transformers are widely used in tasks like language translation, text summarization, and chatbot development.