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Related Questions
- What role do task-specific objectives play in determining the level of transferability of large language models across different tasks and domains?
- How do the differences in evaluation metrics between tasks impact the generalizability of LLMs to new, unseen tasks?
- Can you explain the relationship between task-specific objectives and the ability of LLMs to adapt to new domains?
- How do the characteristics of a task, such as the type of input and output, influence the transferability of LLMs?
- What are the implications of using different evaluation metrics for LLMs on their ability to generalize across tasks and domains?
- Can LLMs be fine-tuned to improve their transferability across tasks and domains, and if so, how?
- What are some strategies for selecting task-specific objectives and evaluation metrics that promote transferability of LLMs?
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