摘要
构建基于GPT的智能大语言模型基金决策支持系统,以有效应对金融市场的复杂性。通过大语言模型技术,系统提供深层次的基金和项目洞察,同时进行风险计量。采用Python与Flask构建,整合了OpenAI GPT模型,通过嵌入式AI模式提升了投前管理、初筛、评分和风险评估的效能,旨在提高整体决策效率。未来的改进方向包括对模型的优化和系统的扩展。这一创新将推动金融领域数字化转型,进一步提升投资效率。
The paper aims to construct an intelligent large language model fund decision support system based on GPT to effectively deal with the complexity of financial markets.Through the large language modeling technology,the system provided deep fund and project insights along with risk measurement.Built with Python and Flask,it integrated OpenAI GPT models and enhanced the efficacy of preinvestment management,initial screening,scoring and risk assessment through embedded AI models,so as to improve overall decisionmaking efficiency.Future improvements included optimization of the model and expansion of the system.This innovation would drive digital transformation in the financial sector and further improve investment efficiency.
作者
朱铮雄
周智宏
Zhu Zhengxiong;Zhou Zhihong(Zhong Hai Fu Information Technology Co.,Ltd.,Shanghai 200010,China)
出处
《计算机应用与软件》
北大核心
2024年第5期21-26,共6页
Computer Applications and Software