.STANDARD program reacts predictably to instructions. "Generative" artificial-intelligence (AI) models, like that utilized through ChatGPT, are actually different: they react to demands written in daily language, and can generate unexpected results. On the face of it, creating efficient prompts for artificial intelligence is much less complex than, for example, mastering a programs foreign language. However as artificial intelligence models have come to be a lot more qualified, maximizing the formulas within these dark containers has come to be harder. "Cue engineering", as this skill-set is known, has been likened to assisting a dancing companion or stabbing a monster to observe just how it will certainly react. What does it include?