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Related Questions
- What are the key factors that contribute to the trade-offs between model size, complexity, and transferability in large language models?
- How do model size and complexity impact the performance of large language models in real-world applications?
- What are some strategies for balancing model size, complexity, and transferability in large language models to achieve optimal performance?
- How do large language models handle out-of-distribution data and what are the implications for transferability?
- Can you discuss the relationship between model complexity and the ability of large language models to generalize to new tasks and domains?
- What are some techniques for improving transferability in large language models, such as few-shot learning and meta-learning?
- How do large language models handle catastrophic forgetting and what are the implications for transferability and model maintenance?
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