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<palign="center"><b>PromptWizard outperforms feedback based methods like APO, PromptAgent and other prompt optimization techniques like DSPy in terms of accuracy and number of API calls for optimization on various datasets. For the case of
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number of average tokens per call, PromptWizard uses the second least number in most cases and is only behind APO which being a technique designed for only binary classification tasks generates smaller sized prompts (hence uses fewer tokens) and is not extensible to
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other tasks.
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<palign="center"><b>PromptWizard outperforms feedback based methods like APO, PromptAgent and other prompt optimization techniques like DSPy in terms of accuracy and number of API calls for optimization on various datasets.
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