How do you handle sensitive data (PII) in datasets before training models?

I think it’s a waste of time. I developed a new architecture that fully externalizes all AI memory function. Models are nothing but interchangeable compute power too me. I simply drag and drop what ever I want into it. Hit Digest to memory and then it’s done. The model can pull up any part of it anytime you want. Retraining models for anything = time and money both are wasted on an end result that isn’t perfect and or deterministic.