Build Kubeflow Pipeline and Monitor Performance

deploymentChallenge

Prompt Content

Assemble all your components into a complete Kubeflow Pipeline, demonstrating an end-to-end MLOps workflow. Execute the pipeline and monitor its progress and resource usage. After deployment, set up basic monitoring for your deployed model on Together AI, focusing on forecasting accuracy (MAPE, RMSE) against a small set of held-out actual data. Describe how you would detect and address data drift or model decay in a production environment.

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