This is a big improvement, but I'm not a believer that SQL is the most appropriate query lang here. Personally am more bullish on language models being trained with ORMs, as those normally capture much more information about the fields.
e.g. Passing in some of my more complex table schemas related to flight data and asking about overflights, the model struggles to resolve out information related to aviation. However, GitHub Copilot writes me a perfect call to Prisma with the same single line instruction + information spanning the rest of my codebase.
e.g. Passing in some of my more complex table schemas related to flight data and asking about overflights, the model struggles to resolve out information related to aviation. However, GitHub Copilot writes me a perfect call to Prisma with the same single line instruction + information spanning the rest of my codebase.