pretrained

Pretraining is the initial training phase where a model learns general representations from unlabeled data via self-supervision, like masked or next-token prediction. It transfers knowledge efficiently to downstream tasks, minimizing labeled data needs and unlocking scaling and emergent skills before fine-tuning.