> In addition to linguistic precision, the parameters involved in prompt composition, for a perfectly controlled artistic result, require technical knowledge, a

> In addition to linguistic precision, the parameters involved in prompt composition, for a perfectly controlled artistic result, require technical knowledge, a sense of style and historical knowledge. You are assuming that the models themselves respond accurately to linguistic clues. Actually they embody the cloud of random noise, prejudices, innacuracies and misconceptions in the training data and then pile on a big layer of extra noise by virtue of their stochastic nature. So this isn't a case of the learned academic with extensive domain knowledge steering a precision machine. It's more like a someone poking a huge chaotic furnace with a stick and seeing what comes out.