Shypd.aiThe largest open index of AI toolsDAIL-SQL is a Coding & Development tool that optimizes large language models for Text-to-SQL tasks. It achieves high accuracy on the Spider leaderboard using GPT-4, requiring approximately 1600 tokens per question for efficiency.
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DAIL-SQL is an efficient and effective few-shot NL2SQL (Natural Language to SQL) method leveraging GPT-4. It significantly optimizes the utilization of large language models (LLMs) for Text-to-SQL tasks, achieving a remarkable 86.2% on the Spider leaderboard and an even higher 86.6% with self-consistency voting. The approach is token-efficient, requiring only about 1600 tokens per question in Spider-dev. DAIL-SQL systematically evaluates prompt engineering strategies, including question representations, example selection, and organization. It encodes structural knowledge as SQL statements, selects examples based on skeleton similarities, and removes cross-domain knowledge for improved token efficiency, making it a leading solution in the Text-to-SQL domain.
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