Much of why this stuff is not reusable is that eventually someone in the NLP world is going to properly migrate the features for promopt engineering that the co

Much of why this stuff is not reusable is that eventually someone in the NLP world is going to properly migrate the features for promopt engineering that the coomers over in stable-diffusion/automatic1111 land have "pioneered", such as token weighting, negative prompts, token averaging, or etc. Literally all of these techniques work with regular LLMs (if you don't believe me, see here: https://gist.github.com/Hellisotherpeople/45c619ee22aac6865ca4bb328eb58faf https://gist.github.com/Hellisotherpeople/45c619ee22aac6865c...). NLP folks just haven't built the right tooling for it. Particularly sad since there's supposed to be an "Automatic1111 for LLMs" project called "Oogabooga" but it doesn't have any of the good features. The future of LLM prompting will involve highly specialized and engineered prompts, much as is the case with most images seen on civit.ai We are all likely to eventually throw away a lot of our current prompts