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.
Also called
- Training on our data
Kinds
- Fine-tuning on our data Adjusting the weights of a model by training it further on your own data.
- 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.
- Retrieval from our data RAG applied to your company's data: the AI system fetches the relevant data as needed to inform a response or action.
- Vendor training A vendor using your company's data, such as prompts and outputs, to train or improve its AI models.
Often confused with
- Training The process of supplying data (often in large quantities) to a model so that it can identify patterns and make predictions.
Related
- Moat A lasting advantage, hard for competitors to copy, that makes a company, product, or service less likely to lose business.
How it connects
- How AI uses our data decides Approved tools