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Where training ends and the model starts doing actual work — producing outputs on real inputs, in real time.

How fast an AI system responds — and why it determines whether a model that works in theory is usable in practice.

How your systems plug into AI capabilities — and why the connection itself introduces risk that needs to be managed.

AI applied where customers directly feel it — which makes it both the highest-visibility opportunity and the fastest way to damage trust.

The learned numerical values inside a model — the \"7 billion parameters\" figure vendors cite as a size signal, with bigger meaning more capable but also more expensive.