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If I understand correctly, the given example Phi1.5, we have to fine-tune the model with our custom data to get the benefits of an encrypted model input and output? Or is it replacing a certain part of the model, by inserting in a new python class, to need a private key to decode the data with a clients given public key?
Basically- Do we pretrain the model THEN implement hybrid, or do we implement hybrid THEN pretrain/finetune the model?
Or, putting it simply, just stripping a certain layer from the model and putting a key validation process in front of it?
The text was updated successfully, but these errors were encountered:
If I understand correctly, the given example Phi1.5, we have to fine-tune the model with our custom data to get the benefits of an encrypted model input and output? Or is it replacing a certain part of the model, by inserting in a new python class, to need a private key to decode the data with a clients given public key?
Basically- Do we pretrain the model THEN implement hybrid, or do we implement hybrid THEN pretrain/finetune the model?
Or, putting it simply, just stripping a certain layer from the model and putting a key validation process in front of it?
The text was updated successfully, but these errors were encountered: