A neural network or machine learning model that has been trained on a large dataset (often a broad corpus) before being adapted to a specific downstream task through fine-tuning or prompting. Pretrained models encode general representations—linguistic, visual, or multimodal—that can be efficiently transferred, dramatically reducing the data and compute required for specialised applications.
Semantic Classification
Content
Pretrained Model — content pending enrichment.