Combining schema, chain-of-thought, metadata knowledge, and tokenized prompt structures during fine-tuning improves text-to-SQL execution accuracy on private business databases compared to schema-only fine-tuning.
A rule based approach for nlp based query processing,
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Meta-aware Learning in text-to-SQL Large Language Model
Combining schema, chain-of-thought, metadata knowledge, and tokenized prompt structures during fine-tuning improves text-to-SQL execution accuracy on private business databases compared to schema-only fine-tuning.