The degradation of a deployed model's performance over time as the statistical properties of production data diverge from its training distribution. Model drift monitoring is a key MLOps discipline and is implicitly required by the EU AI Act's post-market monitoring obligations.
احجز استشارة لمناقشة كيفية تطبيق مفاهيم الذكاء الاصطناعي على تحدياتك.