How is personalized context different from training a model on my data?

Question

Accepted Answer

Personalized context means Empatyzer supplies relevant information about the user, selected person or group and conversation when generating a response. That is different from training a foundation model on the user’s data. This distinction matters because response-time context, data storage and model training are separate processes. Empatyzer states that client data are not used to train public AI models.