重庆工商大学学报（社会科学版）2024，Vol.41Issue(4)：1-12,12.DOI:10.3969/j.issn.1672-0598.2024.04.001
大语言模型在金融端的应用原理、挑战及落地路径研究
Research on Application Principles,Challenges,and Implementation Path of Large Language Models in the Financial Sector
摘要
Abstract
The core of new quality productive forces lies in technological innovation and application,and artificial intelligence is the most effective means to forge new quality productive forces.With the rapid advance-ment of artificial intelligence technology,large language models have gained widespread attention in the finan-cial industry.These models have shown significant potential in processing financial texts,predicting market trends,managing risks,executing algorithmic trading,and improving customer service,so as to promote the de-velopment of new quality productive forces.However,integrating these advanced technologies into the financial domain while ensuring data privacy,model interpretability,and accuracy poses numerous challenges.This arti-cle delves into the core principles,major challenges faced,most promising application scenarios,effective eval-uation methods,key factors for successful implementation,strategies to address interpretability issues,the im-portance of maintaining data privacy and security,anticipated future development trends,and potential industry transformations of applying large language models in the financial sector.Through comprehensive analysis,this article provides guidance for financial institutions in utilizing large language models,also offering suggestions for future research directions.关键词
新质生产力/大语言模型/金融行业应用/GPT系列/市场趋势预测Key words
new quality productive forces/large language models/applications in the financial sector/GPT series/market trend prediction分类
管理科学引用本文复制引用
陆岷峰..大语言模型在金融端的应用原理、挑战及落地路径研究[J].重庆工商大学学报（社会科学版）,2024,41(4):1-12,12.基金项目
国家社会科学基金一般项目(20BGL009)"基于区块链技术的供应链金融共生融资模式与协同决策研究" （20BGL009）
