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AI & Machine Learning · Intermediate

Experiment Tracking

Recording the code, data, parameters, metrics and artifacts of each training run for comparison and reproducibility.

Definition

Tracking lets teams compare runs, reproduce results and audit how a model was built. Tools include MLflow, SageMaker Experiments, Vertex AI Experiments and Weights & Biases.

Exam tip

Experiment tracking answers the question of which data, code and parameters produced a given model.

Related terms