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submitted 10 months ago by ardi60@reddthat.com to c/technology@lemmy.ml
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[-] pixxelkick@lemmy.world 1 points 10 months ago

Most LLMs have tonnes of NSFW data in their training.

Typically, if this wants to be blocked, a secondary RAG or LORA is run overtop to act as a filtering mechanism to catch, block, and regenerate explicit responses.

Furthermore, output allowed lexicon is a whole thing.

Unfiltered LLMs without these layers added on are actually quite explicit and very much capable of generating extremely NSFW output by default.

this post was submitted on 29 Jan 2024
242 points (90.6% liked)

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