WhiteLightning guarantees data privacy in two ways: first, although networking is required to call APIs to generate synthetic data during the training phase, third-party services (e.g., OpenRouter) are used instead of directly processing real user data; second, the generated models run completely offline, and all data processing is done locally without the need to connect to cloud APIs after deployment. This design is particularly suitable for privacy-sensitive scenarios such as healthcare and finance, ensuring that user data is not uploaded to the cloud.
This answer comes from the articleWhiteLightning: an open source tool for generating lightweight offline text classification models in one clickThe
May not be reproduced without permission:AI productivity tools " How does WhiteLightning address data privacy concerns?
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