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The 2017 Google research paper 'Attention Is All You Need' introduced the Transformer, the architecture behind every modern AI language model — from GPT and BERT to Claude.

True to its title, what key technology did the Transformer boldly leave behind?

Recurrent neural networks (RNNs / LSTMs)
RNNs processed text word by word in sequence — inherently slow and impossible to parallelize. The attention mechanism processes all tokens simultaneously, making it possible to train models with hundreds of billions of parameters.
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