Guides ยท Technology
ML Model Card Basics
Document models transparently
Model cards capture what a model does, training data sources, evaluation metrics across groups, limitations, and intended use to promote transparency and responsible deployment.
- model cards
- ml transparency
- responsible ai
- metrics
- limitations
Describe
Purpose, intended use, and out-of-scope uses.
Data and Metrics
Training data sources; eval metrics and slices.
Limits
Known limitations, risks, and monitoring plans.
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