Open Internet by MindsNet

Evaluating LLM-generated SQL Code with Execution Metrics

The current method of evaluating SQL code generation by Large Language Models (LLMs) using natural language metrics is flawed, leading to a high false positive rate of around 20%. This oversight is a significant limitation in the field of artificial intelligence. The use of execution metrics instead could provide a more accurate assessment.

Computing & Technology, Computer Science, Artificial Intelligence