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Related Questions
- How do you address the trade-off between task similarity and generalizability in large language model architecture design?
- What are some common pitfalls to avoid when designing large language models for multiple tasks?
- How can you balance the need for task-specific features with the need for generalizable representations in large language models?
- What role does multitask learning play in addressing the challenge of balancing task similarity and generalizability?
- How do you evaluate the effectiveness of a large language model architecture in terms of task similarity and generalizability?
- What are some techniques for reducing the impact of task similarity on generalizability in large language models?
- How can you use transfer learning to improve the generalizability of large language models while maintaining task similarity?
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