Mapping Outputs

A linear transformation maps a 512-dimensional vector to 200,000 nodes, creating unnormalized outputs known as logits. These logits are then processed through a softmax function, which transforms them into a probability distribution for each word in the English language, highlighting the intricate workings of neural networks and their applications in language processing.