Perhaps not smarter but filtering seemingly computed or non-derived answers in demonstration data. Also include demonstrations that show steps leading up to a c

Perhaps not smarter but filtering seemingly computed or non-derived answers in demonstration data. Also include demonstrations that show steps leading up to a computation in a format for a runtime to parse and execute the computation. Similar to the Code Interpreter or Advanced Data Analysis in ChatGPT. Taking it a step further, I would include in the demonstration a test harness set up with a test suite to prove the proposed implementation. I would go through each demonstration which a fixed set of criteria measuring only passing tests but ones that also show a level of complexity and usefulness. Why? I was looking through CodeLlamas demonstration data for fine tuning and saw answers that were not even checked for correctness or usefulness.