Model Integration

Noun · AI & Machine Learning

Definitions

  1. The work of connecting a model to an application, workflow, or platform so it can be used as part of a real product. Model integration includes APIs, prompts, validation, logging, UX, and business logic around the inference call.

    In plain English: Connecting a model into an actual application or workflow.

    Example: "Most of the delivery effort was model integration, not choosing the model itself, because the feature needed approvals and audit trails."

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