Automatic Prompt Engineering (APE) automates the creation of prompts[1]. It involves a model generating multiple prompts, evaluating them, and refining the good ones, repeating the process[1].
Here's how it works[1]: First, a model is prompted to generate output variants[1]. Next, evaluate the generated prompts by scoring them based on a chosen metric such as BLEU (Bilingual Evaluation Understudy) or ROUGE (Recall-Oriented Understudy for Gisting Evaluation)[1]. Finally, select the prompt with the highest evaluation score for use; this can be further tweaked and re-evaluated[1].
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