This piece tackles an uncomfortable truth in the text-to-SQL space - that impressive benchmark numbers don't translate to production-ready systems. When a single wrong query can corrupt data or surface incorrect business insights, that remaining 10% error rate becomes the only metric that matters. A good reality check for anyone building natural language database interfaces.
This piece tackles an uncomfortable truth in the text-to-SQL space - that impressive benchmark numbers don't translate to production-ready systems. 🎯 When a single wrong query can corrupt data or surface incorrect business insights, that remaining 10% error rate becomes the only metric that matters. A good reality check for anyone building natural language database interfaces.
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Why 90% Accuracy in Text-to-SQL is 100% Useless
The eternal promise of self-service analytics The post Why 90% Accuracy in Text-to-SQL is 100% Useless appeared first on Towards Data Science.
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