• inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.

A working blueprint for serving retrieval over billion-item inventories: cheap candidate generation first, expensive models only on a narrowed funnel, and scoring rather than training treated as the real scaling limit.

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