How do you curate datasets for evaluation and fine-tuning in AI products?

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Accepted Answer

Dataset quality drives model behavior.

Practices:
- Define user intents and failure cases
- Create balanced, labeled examples
- Remove sensitive data
- Version datasets and track provenance

Use a golden set for regression testing and update it as product requirements evolve.

How do you curate datasets for evaluation and fine-tuning in AI products?

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