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This paper discusses the latest progress of generative artificial intelligence in the field of smart finance. With the rapid development of financial technology, generative artificial intelligence has become one of the key technologies to promote the innovation of smart finance. By analyzing the specific applications of generative artificial intelligence in a number of smart financial application scenarios, such as intelligent risk control, credit approval, intelligent investment advice, financial product innovation, and intelligent customer service, this paper reveals its significant advantages in terms of improving the efficiency of financial services, optimizing risk management, enhancing the user experience, and promoting the innovation of financial products. At the same time, this paper also points out the challenges and limitations faced in the application of generative artificial intelligence, such as data quality, model interpretability, technology update speed, and security and privacy, and puts forward corresponding solution strategies. Finally, this paper looks forward to the future development trend of generative artificial intelligence in the field of intelligent finance, and believes that it will continue to promote the innovation and development of the financial industry.
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