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We tested Bard (aka Bison in GCP) for generating SQL.

It has worse generalization capabilities than even GPT-3.5 but actually does as well at GPT-4 when given contextually relevant examples selected from a large corpus of examples.

https://vanna.ai/blog/ai-sql-accuracy.html

This suggests to me that it needs longer prompts to avoid the hallucination problem that everyone else seems be experiencing.




That does kind of sound like there was less specialized fine tuning and the in context learning is doing the heavy lifting.




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