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From MLOps to LLM-Augmented Operations: A Survey of Foundations, Challenges, and Opportunities for Generative AI in ML Pipelines
1 : Laboratory of Information Technology and Modeling (LTIM), TCA Team, Faculty of Sciences Ben M'Sick, Hassan II University of Casablanca, Casablanca 20360.
* : Corresponding author
| Subject : | : | Abstract |
| Topics | : | Artificial Intelligence, Machine Learning and Deep Learning |
| Keywords | : | MLOps ; LLM ; Augmented Operations ; Generative AI ; Large Language Models ; DevOps ; Machine Learning Lifecycle ; CI/CD Automation ; Concept Drift Detection ; Feature Engineering ; AI ; Driven Optimization ; ML Systems Governance ; Foundation Models |
| PDF version | : |  PDF version |
