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Related Questions
- How does the trade-off between precision and generalizability impact LLM's performance on unseen data?
- Can overemphasizing precision on in-distribution data lead to poor generalizability on out-of-distribution data?
- What are the implications of sacrificing generalizability for higher precision in LLMs when dealing with novel or unseen data?
- How can LLM developers strike a balance between precision and generalizability to improve performance on out-of-distribution data?
- What are the key factors that contribute to the degradation of generalizability in LLMs due to overprecision?
- Can you provide examples of scenarios where prioritizing generalizability over precision leads to better performance on out-of-distribution data?
- What are some potential methods for regularizing LLMs to promote generalizability while maintaining precision on in-distribution data?
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