科技创新与应用2024，Vol.14Issue(22)：18-21,4.DOI:10.19981/j.CN23-1581/G3.2024.22.005
大语言模型在数学建模领域的应用探索
摘要
Abstract
With the wide application of large language model in the field of natural language processing,its accuracy in the field of mathematical modeling has become the focus of research.In this paper,named entity recognition(NER)and prompt engineering are introduced to improve the accuracy of large language model in mathematical modeling.Based on the GPT-3.5 model,through the in-depth analysis of the context and structure of specific problems in the field of mathematical modeling,this paper expounds a set of effective NER strategies and prompt engineering methods to optimize the understanding and response of the large model to mathematical problems.关键词
大语言模型/ChatGPT/命名实体识别/提示词工程/数学建模Key words
large language model/ChatGPT/named entity recognition/prompt word engineering/mathematical modeling分类
信息技术与安全科学引用本文复制引用
荣国伟,孙宝,王文婧,董伟廷,李冰冰,姜旭磊..大语言模型在数学建模领域的应用探索[J].科技创新与应用,2024,14(22):18-21,4.基金项目
太原科技大学校级大学生创新创业训练计划项目(XJ2023181) （XJ2023181）
