Pretrained Model

A pretrained model is a language model trained on massive text corpora via self-supervised tasks like next-token prediction, acquiring broad knowledge without task-specific labels. It bootstraps capabilities like in-context learning, enabling efficient adaptation to new tasks and exceeding billions of parameters when scaled.