Training Label Review

Rascunho de traducao automatica (Portuguese) for "Training Label Review": Training Label Review is a ml quality workflow that checks annotations for consistency and usefulness for model learning and optimization workflows. It uses agreement metrics, reviewer queues, and adjudication so teams can improve supervised learning data while keeping evidence, reliability, and public-safe operational boundaries clear.

“Exemplo em rascunho: The machine learning team used Training Label Review when the training job restarted, so the team could improve supervised learning data before the model moved into evaluation.”