I think it is something like Hoogle for haskell but instead of looking for the types of the functions you look for a hash of some kind of canonical encoding of the definition, so it is like an encoded knowledge graph but you should have to give rules in order to construct that graph in a canonical way.
Edited: What I thought was wrong, anyway the idea of above could be useful for something like copilot to complete definitions.
I think for you idea to have traction (1) the questions should be selected by their importance and (2) the questions should be chained to allow new results. Just for inspiration or example you could create a quiz for solving a puzzle and at the same time solving the puzzle by answering the questions. >The big idea is using your tool to enhance step by step rationing in LLM.
I think you could use a text area for the user to indicate if the quiz is about getting the main idea or if it is about testing the details.
And for big clients, the system could be tailored so that the questions and structure reflect user intentions.
Good idea! There's no limitation in the generation or grading, but we didn't set up the search to support this. I'll see if it's possible to enable this in the wikipedia search component.
