[geph2021]

I think you're missing how this technology works. The basis for these models is training data. And to train anything, you need to label the data. So prompt engineering is simply using the lexicon, terminology and language labeling choices that were in the training data labeling. I suppose the models can conflate different words and terms, but to some degree the more you do that, the less precise or specific you can be in your prompt, and the generated result.