Credit to @bontchev
this post was submitted on 15 Apr 2024
487 points (100.0% liked)
Technology
37747 readers
332 users here now
A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.
Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.
Subcommunities on Beehaw:
This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
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.