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Learn the building block: attention → add & normalise → feed-forward → add & normalise, stacked many times. The encoder reads the whole input (sees all words). The decoder writes output one token at a time and can only look at earlier tokens (masked attention).
Builds on: 1.4 Making networks generalise, 2.4 CNN concepts and first model