Self-Consistency

Self-consistency prompting is a technique that's aimed at enhancing the quality of outputs from AI models by leveraging the model's ability to check its own answers. Originally proposed by Wang et al. (2022)https://arxiv.org/abs/2203.11171, self-consistency aims "to replace the naive greedy decoding used in chain-of-thought prompting". Think of it like a student ...