NLP, ChatGPT, Deep Learning, Artificial Intelligence, Data Science.
allows the model to jointly attend to information from different representation subspaces. Each head computes a separate attention distribution, which are then concatenated and linearly transformed. Positional encodings: Since Transformers do not have any recurrent or convolutional structure,