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Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

AWS Machine Learning Blog

The workflow also includes a final evaluation and correction loop, in case any SQL issues are identified by Amazon Athena , which is used downstream as the SQL engine. You can even include these corrective steps as supervised reinforced learning examples to fine-tune your LLMs.

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