Dynamic Machine Learning; MLOps
adjective
Definition: In machine-learning production contexts, operating on demand at runtime rather than being precomputed in advance; in Google’s ML Glossary, dynamic and online are treated as synonymous in uses such as dynamic inference / online inference, where predictions are generated when requested [Google ML Glossary].
Example in context: “While dynamic inference offers the flexibility to adjust model behavior based on varying resource budgets, existing methods are frequently limited by hardware inefficiencies or performance degradation.” [Jamialahmadi, Rezaei 2025]
Synonyms: online; real-time (context-dependent)
Related terms: dynamic inference; online inference; offline inference; static inference; on-demand serving