Safe Panda Query Generation

Safe Panda query generation focuses on using large language models (LLMs) to create secure and efficient queries for data analysis, particularly within the Pandas Python library, without directly exposing sensitive data. Current research emphasizes methods that leverage only column names as input to LLMs, thereby enhancing data privacy and improving query generation efficiency. This approach has shown promising results in tasks like data retrieval and aggregation, with LLMs like GPT-4 achieving high accuracy rates on benchmark datasets. The development of robust and secure query generation techniques is crucial for advancing data analysis while safeguarding sensitive information across various applications, including robotics and autonomous driving.