Managing Data Platforms for Smart Cities Using Large Language Models

The complexity of data in smart cities creates challenges for developers and hinders cohesive understanding of diverse datasets. These critical data sets are often underutilized due to opaque organization and accessibility. In our research, we use Large Language Models (LLMs) as "data custodians" to improve data navigability and usability in smart city platforms. We evaluated the ability of LLMs to generate accurate data descriptions, identify feature names, and discern relationships from limited raw data, demonstrating their proficiency with minimal input