• transformer — The neural network architecture behind modern AI models, built on attention — letting every word directly consider every other word in parallel.
• embedding — A list of numbers representing a piece of text's meaning, so that similar meanings end up numerically close and can be searched.

Concrete training-efficiency techniques for generative sequential recommenders, with a measured 65% reduction in end-to-end GPU hours on production workloads and no reported quality regression.

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