MLOps is the standardization and streamlining of the ML development lifecycle.• MLOps is required to address the challenges and risks associated with large-scale machine learning projects such as -Changing data dependencies -Varying operations needs -Reproducibility -Making machine learning tools accessible to other accelerator operations departments.
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Gopika Bhardwaj (2024) studied this question.
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