this post was submitted on 29 Jan 2024
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[–] [email protected] 1 points 9 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.