Foundation Model

Foundation models learn general-purpose representations from large-scale training data and can support tasks such as generation, classification, extraction, reasoning, and coding. Organizations commonly adapt them through prompting, retrieval, fine-tuning, or tool integrations rather than training a new model from scratch.