This is probably preaching to the choir, but in my experience, the best prompt depends on the type of task. The thing that varies is the amount of background kn

This is probably preaching to the choir, but in my experience, the best prompt depends on the type of task. The thing that varies is the amount of background knowledge needed to explain the context of what you are asking Chat GPT about. For instance, there are single-line questions like: > What is the meaning of the song "What is Hip" by Tower of Power? > Can you give me an example of verse written in Trochaic heptameter? These types of question need no additional background as the relevant bits are contained within the question itself. For more complex tasks, I've found that the best prompting strategy is to approach Chat GPT like it's an engineer who has little background knowledge of your task. There is no set prompt, I just try and give it enough information to help me. For example: > I have a dataframe with the following column names: [list of columnnames]. I'd like to use the following R function to Z-score the appropriate columns in terms of certain baseline columns. The baseline columns are: [list of baseline columns]. However, due to {condition}, we need to skip every 4th column. Here is the R code I have, how can I translate it into doing what I want? {R code goes here}