01Deep dive
Meaning and practical implications
Inference can run interactively, in batches, or on a device. It does not require a live user or a token-priced API. The production pipeline may also retrieve data, validate outputs, and call tools.
AI inference is the execution of a trained model on an input to produce an output, such as a prediction, embedding, classification, or generated response.
A short definition. Follow the related guide for a fuller explanation.
Inference can run interactively, in batches, or on a device. It does not require a live user or a token-priced API. The production pipeline may also retrieve data, validate outputs, and call tools.
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