A Study of the Impact of Large Modeling Applications on New Quality Productive Forces in Commercial Banks
In recent years,general artificial intelligence technologies such as big data,machine learning,and natural language processing have ushered in a new round of development boom.As a major breakthrough in the field of artificial intelligence,the wide application of big models has provided strong momentum for the development of many industries.The use of big models by commercial banks in the process of digital transformation has also become more and more common,and by combing the technical routes and application scenarios of big models in commercial banks,it can be found that they mainly promote the formation of new quality productive forces of commercial banks from the two dimensions of digital technology and data elements.On the one hand,the big model application scenarios represented by intelligent customer service,digital staff,intelligent R&D and intelligent operation and maintenance are reshaping the digital technology ecology of commercial banks;on the other hand,the big model application scenarios represented by intelligent marketing,product innovation,intelligent research,and intelligent risk control play an important role in the process of mining the value of data elements.Through continuous efforts in the dual dimensions of digital technology and data elements,the big model application will promote the production mode of commercial banks to change continuously in the direction of technological innovation and data-driven.However,there are many problems with the current big model application in commercial banks,such as the lack of industry-recognized scenario application paradigm,the lack of high-quality training data,and the lack of security and credibility.In the future,commercial banks should focus on cultivating industry application paradigms,improving application management,enhancing training data quality,exploring the use of synthetic data,strengthening algorithm optimization capabilities,and improving risk protection mechanisms.In order to better utilize the positive role of big models in promoting the development of new quality productive forces of commercial banks,and to realize the sustained growth of commercial banks and the high-quality development of the financial industry.
ChatGPTLarge ModelArtificial IntelligenceNatural Language ProcessingNew Quality Productive Forces in Commercial Banks
NETL
NSTL
万方数据
