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Forget fine-tuning鈥攖his new approach to Text-to-SQL selection leverages structured memories to boost accuracy while slashing token usage by nearly 3x.
LLMs can achieve significantly higher accuracy and verifiable reasoning paths by explicitly grounding each step in a knowledge graph and dynamically correcting errors during inference.
