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Update README.md
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README.md
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## Limitations and Bias
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- The model is fine-tuned on a domain-specific dataset and may not perform well outside the scope of
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- Users should be aware of potential biases in the training data, as the model's responses may inadvertently reflect these biases. This model has been trained with a dataset that answers general
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## Ethical Considerations
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This model should be used responsibly, considering ethical implications of automated financial advice. As it is a base model for this
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## Acknowledgments
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## Limitations and Bias
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- The model is fine-tuned on a domain-specific dataset and may not perform well outside the scope of retail advice.
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- Users should be aware of potential biases in the training data, as the model's responses may inadvertently reflect these biases. This model has been trained with a dataset that answers general retail questions, so potential biases may exist for specific use cases.
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## Ethical Considerations
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This model should be used responsibly, considering ethical implications of automated financial advice. As it is a base model for this retail field, it is crucial to ensure that the model's advice complements human expertise and adheres to relevant retail regulations.
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## Acknowledgments
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