The transformer model architecture is a neural network design primarily used in natural language processing that uses self-attention mechanisms to process entire sequences simultaneously, making it highly efficient for tasks like translation and text generation. It consists of encoders and decoders that work together without relying on recurrent or convolutional layers. How is the Transformer… Continue reading What is the Transformer Model Architecture?
