Hmm, I thought one of the problems with LLMs was they’re pretty baked in in the training process. Maybe that was only with respect to removing information?
Yeah, it’s hard to remove data already trained into a model. But you can retrain them to add capabilities to an existing model, so if you copy one based on public data multiple times and then retrain with different sets of private data then you can save a lot of work
Hmm, I thought one of the problems with LLMs was they’re pretty baked in in the training process. Maybe that was only with respect to removing information?
Yeah, it’s hard to remove data already trained into a model. But you can retrain them to add capabilities to an existing model, so if you copy one based on public data multiple times and then retrain with different sets of private data then you can save a lot of work