What are canary deployments for ML models?
Canary deployments are a controlled method of introducing new model versions. Instead of activating a new AI model for all requests immediately, it is initially deployed for only a small share of traffic.
This allows the new version to be observed in real operations and compared against the previous one. Performance metrics, error rates, and domain-specific results are monitored closely. If the new version runs stably, its share is increased gradually. If problems occur, an immediate rollback to the previous version is possible.
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Zukunft beginnt, wenn menschliche Intelligenz künstliche Intelligenz entwickelt. Der erste Schritt ist nur ein Klick.
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