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.
Definition: 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.
A SaaS product built on top of a foundational model, adding a UI, workflow, and usually a hidden system prompt. Convenient when the use case is well-defined; risky when reproducibility, data handling, or auditability matter. The trade-off is always the same: you get speed, you give up control. See also: Evaluating AI Research Tools.
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.
Instruction given to an LLM that sets its role, behavior, or output format before any user input arrives. Acts as the model's standing operating instructions for the rest of a conversation. Wrapper tools usually contain a hidden system prompt you cannot see.
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.