- Bias Mitigation: Efforts are made to reduce biases in the training data and outputs.
- Privacy Protection: Ensuring that user data is handled securely and responsibly.
- Content Moderation: Implementing safeguards to prevent the generation of inappropriate or harmful content.
- Transparency: Providing insights into how the model makes decisions to build trust with users.
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