A general-purpose model trained on a broad corpus, used as the base layer for downstream products. Most consumer AI features are a foundational model with a UI wrapper.
Definition: A general-purpose model trained on a broad corpus, used as the base layer for downstream products. Most consumer AI features are a foundational model with a UI wrapper.
A general-purpose model trained on a wide corpus that downstream products build on. Most "AI features" you encounter are a foundational model with a wrapper around it. Knowing which foundational model is under the hood lets you assess capabilities, biases, and likely failure modes.
A SaaS product built on top of a foundational model, adding a UI, workflow, and usually a hidden system prompt. You get speed; you give up control.
An AI system trained on vast amounts of text to predict and generate human-like language. Best understood as a concept-transformation engine rather than a knowledge database.
A trained system that maps input to output through learned patterns. In research practice usually a large language model, but the term also covers image, audio, and multi-modal systems.