Oh I see, you’re saying the training set is exclusively with yes/no answers. That’s called a classifier, not an LLM. But yeah, you might be able to make a reasonable “does this input and this output create a jailbreak for this set of instructions” classifier.
Yeah, I suppose you’re right. I incorrectly believed that a defining characteristic was the generation of natural language, but that’s just one feature it’s used for. TIL.
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Oh I see, you’re saying the training set is exclusively with yes/no answers. That’s called a classifier, not an LLM. But yeah, you might be able to make a reasonable “does this input and this output create a jailbreak for this set of instructions” classifier.
Edit: found this interesting relevant article
LLM means “large language model”. A classifier can be a large language model. They are not mutially exclusive.
Yeah, I suppose you’re right. I incorrectly believed that a defining characteristic was the generation of natural language, but that’s just one feature it’s used for. TIL.