Sometimes, gave the same task to multiple models, comparing and merging their outputs to maximize quality. It's like double bookkeeping: when you know something is prone to errors (or, in Al's case, hallucinations), it's best to give the same task to two or three different models. This significantly reduces the error rate.

The approach mirrors