How Transformer Decoders Generate Text Token by Token

Transformer decoders generate text autoregressively, predicting one token at a time and feeding it back into the model. Causal masking prevents the decoder from seeing future tokens during training, ensuring valid generation. Decoding strategies like temperature scaling and token selection significantly impact output quality.