• transformer — The neural network architecture behind modern AI models, built on attention — letting every word directly consider every other word in parallel.
• attention — The mechanism that lets a model weigh which earlier words matter for the word it's currently processing — the core operation of a transformer.

Shows how a large production ranking system moved from hand-crafted aggregate features to transformer sequence modeling over user action logs, with target-aware attention and near-real-time features, and what that costs and buys at scale.

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