AI & Enterprise
KAIST develops SafeQL to more easily fix AI database query errors
Researchers at the Korea Advanced Institute of Science and Technology have developed a way to fix errors that occur when AI converts natural-language questions into SQL database queries without rebuilding the whole command. The technology, called SafeQL, identifies and corrects only the wrong parts using database error information and stored data. It was implemented inside PostgreSQL and tested on Bird and Spider benchmarks, reducing token use and repair time while improving execution accuracy.
