[mcnnowak]

I've always wondered if we could get a "good enough" general model, then add plugins for shortcomings.

E.g., Can this model solve math problems? ~%50 of the time. Can this model identify math problems? ~99.9% of the time. Ok, then divert math questions to the math plugin and mathematical-problem-language-parser which has ~99.9% accuracy on supported math problems.

I know it's a stopgap, but it seems like it'd make these models super useful on certain tasks quicker.