Automatic optimization method and device for cue word, equipment and storage medium

The invention provides an automatic optimization method and device for cue words, equipment and a storage medium, and relates to the technical field of artificial intelligence such as deep learning, natural language processing, generative models and large language models. The method comprises the steps of obtaining an initial processing result of initial iteration data based on a private large language model; taking the initial iteration data and the initial processing result as target iteration data and a target processing result, and executing an iteration step: filling the meta cue word based on the target iteration data and the target processing result, and inputting the filled meta cue word into a public large language model to obtain an optimized cue word; evaluating the optimized cue word based on a private large language model to obtain a current processing result; if the current processing result does not meet the preset condition, taking the optimized prompt word and the current processing result as