I want to use reverse prompt engineering, where you help me create prompts based on text I give you that would be optimized and ideal for producing similar content.
can you give me an example of reverse prompt engineering?
Extract the most semantically relevant entities from this {text}. Put the entities into a chart, numbering them in the first column, listing them in the second column, and including their salience scores in the third column. text = [article]
Now I want you to reverse prompt engineer the {text}. Give me a single prompt that would create a similar output. The tone and writing style should be included in the prompt. The entities #1-5, #10-15 should also be mentioned as needing to be included in the output in the prompt. The entities #6-9 should be excluded.
Rewrite the output adding relevant headings to sections such as "What are smart notes?" as well as expanding the content to include more detail.