Recently, the National Development and Reform Commission, the National Data Bureau, and the Ministry of Industry and Information Technology jointly released the "Guidelines for the Construction of National Data Infrastructure." These guidelines aim to promote the active development of large models for government services across the country, facilitating the intelligent transformation of government services and ultimately improving the efficiency and quality of government services.
The guidelines emphasize the importance of the data labeling industry, encouraging regions to explore and innovate in building data labeling ecosystems, enhancing capabilities, and applying them in various scenarios. The government will link public data, proactively disclose data related to enterprises and individuals, and establish a high-quality open directory of data resources to provide unified data resources for society and promote information sharing.
To ensure the accuracy of data and the professionalism of models, the guidelines require the formulation of construction standards for high-quality datasets, with strict oversight at every stage from data generation and annotation definition to management. Additionally, relevant departments need to establish high-quality data labeling and delivery rules to improve the quality of training data, ensuring that various industries (such as agriculture, industry, transportation, finance, etc.) can create high-quality datasets.
It is noteworthy that the guidelines mention the need to promote the centralized and standardized construction of public data operation platforms according to local conditions, enhancing the large-scale supply of public data and facilitating the cross-domain, cross-level, and cross-regional circulation and utilization of data resources. This means that local governments will utilize data resources more efficiently to provide more convenient services to citizens.
At the same time, the guidelines also call for the construction of an integrated data infrastructure platform that encompasses functions such as data collection, storage, cleaning, labeling, management, and application, to improve the efficiency of data processing and ensure data quality. This initiative will lay a solid foundation for the intelligent transformation of government services.
In summary, by establishing large models for government services and promoting intelligent transformation, the country hopes to enhance the quality and efficiency of government services, injecting new vitality into the development of the digital economy.