Foundation Model
A large AI model trained on broad data that is designed to be adapted for many different tasks (e.g., LLMs, multimodal models).
Definition
A large model trained on broad, diverse datasets that can be adapted or fine-tuned for many downstream tasks; the guides highlight associated risks (e.g., broad training data, potential for reuse of data) and governance implications for adaptation and deployment.
Related Terms
General-Purpose AI Model
An AI model trained at scale that displays significant generality and can competently perform many distinct tasks and be integrated into varied downstream systems....
Generative AI
A class of AI systems that produce new digital content (text, image, audio, video, code) by modelling and emulating patterns in training data....
Large Language Model
A machine-learning model trained on very large text datasets to understand and generate human language across many tasks....
Model Weights
The learned numerical parameters of a trained AI model that determine its behavior and outputs....
Systemic Risk
Risk that a general-purpose AI model could cause widespread, significant harm to public health, safety, security, or society....