Questions
Common questions.
What is Model Lifecycle Management?
Model lifecycle management governs an AI model from selection or training through deployment, monitoring, updating, and eventual retirement.
Why does Model Lifecycle Management matter for AI agents?
It ensures that models remain fit for purpose and compliant throughout their operational life.
Which terms are related to Model Lifecycle Management?
Closely related concepts include MLOps, Agent Telemetry, Edge Agent, Model Endpoint. Each is defined in the Prefactor glossary.
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