Fine-Tuning Datasets and Evaluation Splits
A fine-tuning score is only as meaningful as the data behind it. Match data to the task, check labels, remove leakage, record rights, and size splits for the decision.
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Curating Training Data and Managing Feedback
A training set is a product with a specification. This post covers sampling, labels, provenance, dataset versions, feedback quality, contamination checks, and privacy limits.