← Glossary
Inference
Running a trained model to produce an output, as opposed to training it.
Inference is what happens every time an application calls a model to get a response — it uses the model's already-learned parameters to process new input. It's distinct from training (where those parameters are learned), and inference cost/speed is what most AI application budgets and latency concerns actually track.
Where this shows up in practice
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