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pages/techniques/ape.en.mdx
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@ -14,7 +14,7 @@ The first step involves a large language model (as an inference model) that is g
APE discovers a better zero-shot CoT prompt than the human engineered "Let's think step by step" prompt ([Kojima et al., 2022](https://arxiv.org/abs/2205.11916)). APE discovers a better zero-shot CoT prompt than the human engineered "Let's think step by step" prompt ([Kojima et al., 2022](https://arxiv.org/abs/2205.11916)).
The prompt "Let's work this out in a step by step way to be sure we have the right answer." elicits chain-of-though reasoning and improves performance on the MultiArith and GSM8K benchmarks: The prompt "Let's work this out in a step by step way to be sure we have the right answer." elicits chain-of-thought reasoning and improves performance on the MultiArith and GSM8K benchmarks:
<Screenshot src={APECOT} alt="APECOT" /> <Screenshot src={APECOT} alt="APECOT" />
Image Source: [Zhou et al., (2022)](https://arxiv.org/abs/2211.01910) Image Source: [Zhou et al., (2022)](https://arxiv.org/abs/2211.01910)