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Related Questions
- What are some key techniques for designing large language models that are both interpretable and engaging?
- How can attention mechanisms be used to improve the interpretability of large language models?
- What role do prompt engineering and task-specific training play in creating engaging and interpretable language models?
- How can we balance the trade-off between model complexity and interpretability in large language models?
- What are some best practices for evaluating the interpretability and engagement of large language models?
- Can you provide examples of large language models that are both interpretable and engaging, and what design choices made them so?
- How can we leverage techniques from multimodal learning to create more engaging and interpretable language models?
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