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Related Questions
- What are the key differences between task-specific and multi-task training objectives in language models?
- How does the choice of training objectives affect the ability of language models to generalize to out-of-domain tasks?
- What is the impact of task complexity and diversity on the generalizability of language models?
- Can you explain how multi-task learning can improve the generalizability of language models across different domains and tasks?
- What are some common pitfalls to avoid when selecting training objectives for language models to ensure generalizability?
- How does the choice of evaluation metrics affect the generalizability of language models, and what are some recommended metrics to use?
- What is the role of data augmentation in improving the generalizability of language models, and how can it be effectively used?
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