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@@ -79,13 +79,12 @@ The model can be further integrated into applications such as chatbots, data ana
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  This model is not designed for tasks outside text-to-SQL generation.
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  It may not perform well for non-SQL language generation or queries outside the domain of structured data retrieval.
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- ## Bias, Risks, and Limitations
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- - **Bias:** The model's performance is influenced by the quality and diversity of the training data. It may underperform on SQL queries that deviate significantly from the training examples.
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  - **Risks:** Inaccurate SQL generation may lead to unexpected query behavior, especially in safety-critical environments.
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- - **Limitations:** The model may not generalize to complex SQL tasks that require deep domain knowledge beyond the training data.
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  ### Recommendations
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  This model is not designed for tasks outside text-to-SQL generation.
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  It may not perform well for non-SQL language generation or queries outside the domain of structured data retrieval.
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+ ## Risks, and Limitations
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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  - **Risks:** Inaccurate SQL generation may lead to unexpected query behavior, especially in safety-critical environments.
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+ - **Limitations:** The model may struggle with highly complex schemas and queries due to limited training data and inherent model capability constraints, particularly for tasks that require deep, domain-specific knowledge.
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  ### Recommendations
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