Leveraging Task Expertise in RL for Enhanced Text-to-SQL Performance
ReViSQL-K2.6 achieves human-level accuracy in SQL queries using expert-verified data.
Relational databases queried with SQL are vital across many industries. While humans excel in translating natural language questions to SQL, AI performance has historically lagged. The new model, ReViSQL-K2.6, achieves human-level accuracy in SQL generation through reinforcement learning with verified training data, marking a significant improvement over previous methods.
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