Design the MLOps Pipeline and LLM Integration

planningChallenge

Prompt Content

Design a comprehensive MLOps pipeline for energy demand forecasting using Kubeflow. Detail each step, from data ingestion and preprocessing (handling various data types like CSV, JSON) to model training, evaluation, and deployment. Crucially, outline how Qwen 2 will be integrated into this pipeline: either for generating features, post-processing forecasts for contextual narratives, or as part of an ensemble. Specify the components of Kubeflow you will utilize (e.g., Kubeflow Pipelines, KFServing/Together AI) and how they interact.

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