What it takes to get high Text-to-SQL accuracy in production
SMRTR summary
ACE fixes text-to-SQL failures by continuously learning from user feedback, schemas, and query logs to resolve context drift. LiveSQLBench evaluations show accuracy jumping from 20% to 85% — no model changes needed.
SMRTR provides this summary for quick context. The original article belongs to Hacker News.
Read the original article