Research and Application of Intelligent Algorithms Driven by GPT Large Model in the Field of Data Analysis

How to solve the problems of low accuracy in current data analysis? The current algorithm model does not perform well in terms of root mean square error, and the intelligent algorithm driven by the GPT large model has become a very good solution. This study explores its research and application in the field of data analysis based on the GPT large model. Through the pre-training stage, the GPT large model can learn a lot of language knowledge and semantic understanding ability, and use fine-tuning and task-specific training to apply the GPT large model to data analysis tasks. The research results show that the accuracy rate of the model performance in this paper is between 93% and 99%, with a maximum RMSE value of 0.05 and a minimum of 0.01. The intelligent algorithm driven by the GPT large model has achieved remarkable results in the field of data analysis.