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> that returns 0 results, because it turns out the state column uses two-letter state abbreviations like CA instead.

As you’ve identified, rather than just giving it the schema you give it the schema and a some data when you tell it what you want.

A human might make exactly the same error - based on misassumption - and would then look at the data to see why it was failing.

If we assume that a LLM would magically realise that when you ask it to find something based on an identifier which you tell it is ‘California’ it would magically assume that the query should be based on ‘CA’ rather than what you told it, then that’s not really the fault of the LLM.



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