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Optional shared training
Contribute individually reviewed, rights-cleared card examples to improve nena’s models. This is separate from personal learning and is not needed for any plan.
No raw files, screenshots or existing history are uploaded automatically. Never share patient information, personal data or material you do not have permission to contribute.
Turning this off deletes stored shared examples and excludes them from future datasets. It does not undo influence on a model already trained. Shared-model training is not automated. Read the data policy.
Shared contributions are not open yet. Local personalisation is unaffected.