How to use domestic large models for data analysis and report generation?

When it is necessary to use domestic large models for data analysis and report generation, it can usually be achieved through three steps: data input, model interaction, and result optimization. Domestic large models such as Baidu Wenxin Yiyan and Alibaba Tongyi Qianwen support structured and unstructured data processing, and can automatically extract key information and generate structured reports. Data preparation stage: It is necessary to organize clear data sources, including Excel spreadsheets, database files or text data, and ensure standardized formats to improve the efficiency of model understanding. Model selection: Choose an appropriate model based on analysis needs. For example, when processing financial data, a model with table analysis functions can be selected, while for analyzing user reviews, a model with strong natural language processing capabilities should be emphasized. Analysis execution: Guide the model to generate visual charts and key conclusions through natural language instructions (such as "Analyze the sales trend in 2023"), and support multi-round interaction to adjust analysis dimensions. It is recommended to start with a clear analysis goal, first test the model output effect with small sample data, and gradually optimize the precision of instructions to improve the accuracy and practicality of the report. For scenarios that require high-frequency generation of industry reports, the API interface of domestic large models can be explored to realize an automated process.