Some Goodreads...

Run inference with greedy and beam search, generate translations, and compare decoding strategies.

Build core Transformer components in TensorFlow: positional embeddings, encoder/decoder blocks, and train the model end-to-end.

Kickoff the series by introducing Transformers, attention mechanisms, and the seq2seq overview before diving into data prep and tokenization.