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AI & Machine Learning · Intermediate

Shadow Deployment

Running a new model alongside production on live traffic without returning its predictions to users.

Definition

Shadow testing compares the new model's outputs, latency and errors with the live model at no user risk, before promotion.

Exam tip

Shadow = no user impact; canary = small share of users see the new model.

Related terms