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> it's interesting to play around with a local model where you can edit the output and then have the model continue it.

It's so interesting that there is a whole set of prompt injection attacks called prefilling attacks that attempt to do a thing similar to that - load the LLM context in a way to make it predict tokens as if the LLM (instead of the System or the User) wrote something to get it to change it's behavior.



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