PMLE - Collaborating Within and Across Teams to Manage Data and Models - Section 2.3

Track and run ML experiments, choosing the right environment among Experiments on the Agent Platform, Agent Platform Pipelines, and Kubeflow Pipelines, evaluating predictive and gen AI solutions including LLM-as-a-judge, and tracking artifacts, versions, and lineage with ML Metadata.

Track runs, metrics, and hyperparameter combinations using Agent Platform Experiments, and choose between Agent Platform Pipelines and Kubeflow Pipelines to orchestrate multi-step workflows at the right abstraction level. Apply LLM-as-a-judge to evaluate generative AI outputs, and use ML Metadata to record artifact versions and lineage across experiments.

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