Guide the model towards factual answering by showing it how to respond to questions that fall outside its knowledge base. Using a '?' to indicate a response to words and phrases that it doesn't know provides a natural response that seems to work better than more abstract replies.
Summarize text by adding a 'tl;dr:' to the end of a text passage. It shows that the API understands how to perform a number of tasks with no instructions.
Create spreadsheets of various kinds of data. It's a long prompt but very versatile. Output can be copy+pasted into a text file and saved as a .csv with pipe separators.
An example of how to create a docstring for a given Python function. We specify the Python version, paste in the code, and then ask within a comment for a docstring, and give a characteristic beginning of a docstring ("").