1 link tagged with all of: text-to-sql + ai + data-analysis + evaluation + bigquery
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The article discusses the shortcomings of achieving high accuracy in Text-to-SQL systems, emphasizing that 90% accuracy is insufficient for enterprise applications. It highlights the need for rigorous evaluation frameworks, like Spider 2.0, to ensure reliability and trust in AI-driven analytics.
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