Curation Over Volume: Why Small Clean Datasets Beat Large Messy Ones

Ask a product team what would most improve their model and the answer is usually more data. The instinct is inherited from pretraining, where scaling laws did reward every additional token, and it survives into fine-tuning where the economics are different. So the annotation budget grows, the label queue grows, and the training set becomes […]