In-context use
Supplying company-specific data to a model in the prompt so that it can provide a more relevant response, without changing the model.
Also called
- Pasted context
- Context stuffing
Kind of
- How AI uses our data The ways an AI system can use your company's data: reading it during a task, which leaves the model unchanged, or training on it, which changes the model.
Often confused with
- Few-shot prompting A method of prompting where you supply some examples of inputs and the answers you expect from the model.
Related
- Memory A note that an AI system saves from past sessions (facts, preferences, decisions) and brings back into later ones to help guide it, since the model itself remembers nothing between calls.
- Context Everything the model can see when it answers: your instruction, the conversation so far, and any documents or tool results added to the call.