Tech
MLOps
Applying DevOps to ML for reliable AI deployment.
Covers the full ML lifecycle: training, deployment, monitoring, retraining.
Example
Auto-retraining models when data drift is detected.
Frequently asked questions
MLOps tools?
MLflow, Kubeflow, Weights & Biases, SageMaker.
Related terms
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