Machine Learning Operations (MLOps) for Generative AI
Year: 2024
Type: article
Abstract: MLOps (Machine Learning Operations) represents the intersection of machine learning and DevOps practices, aimed at automating the deployment, monitoring, and management of machine learning models in production environments. This paper explores the various levels of MLOps automation, compares the methodologies of custom ML and AutoML, and presents a case study on the implementation of MLOps for fraud detection. We also discuss the advantages, limitations, and real-world applications of these methodologies in various domains. Through this analysis, we aim to provide insights into optimizing machine learning workflows and enhancing model deployment processes.
Author: Bharathiar University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6968085281
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