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What is…

Inference

Running a trained model to get an answer — as opposed to training it.

Training builds the model (months, huge cost, done once). Inference uses it (milliseconds to minutes, every time you hit Enter). When companies talk about GPU costs for serving users, or "tokens per second," they're talking about inference.

Reasoning models spend extra inference compute "thinking" before they answer — trading speed for quality.

💡 Think of it like

Training is going to medical school. Inference is seeing a patient.

🧠 Test yourself

Which of these describes Inference?

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