Version the data and model artifacts: What documentation control is most immediately required?
Versioning data, transformations, and model artifacts preserves lineage and makes evaluation results reproducible.
The question
A media company retrains a content-production model after changing its source corpus and preprocessing pipeline. The team can no longer reproduce which data or model version produced earlier evaluation results. What documentation control is most immediately required?
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- Rebuild the latest model and compare its aggregate quality with current outputs.A current comparison does not identify historical artifacts or explain changes caused by the prior corpus and preprocessing pipeline.
- Ask producers to describe the earlier workflow from memory.Retrospective descriptions may help locate details but are less reliable than controlled records of versions and transformations.
- Increase the number of evaluation examples from the latest corpus.More examples may strengthen current evidence, but they cannot reconstruct which prior data and model versions generated earlier results.
- Version the data and model artifacts. ✓Versioning links source data, transformations, and model artifacts to evaluation results, enabling reproducibility after changes.
The trap
If results cannot be tied to exact data and model artifacts, evaluation comparisons are difficult to interpret. How to remember it
Versioning data, transformations, and model artifacts preserves lineage and makes evaluation results reproducible.
How many of these would you get right?
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