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Related Questions
- What are the key strategies used in scaled-up pre-training to improve generalizability in specific domains or areas of NLP?
- How do different pre-training objectives, such as masked language modeling and next sentence prediction, impact generalizability in NLP?
- Can you explain the role of task-agnostic and task-specific pre-training in improving generalizability in NLP?
- What are some common challenges faced when scaling up pre-training to improve generalizability in specific domains or areas of NLP?
- How can the use of multi-task learning and transfer learning improve generalizability in NLP?
- What are some techniques for fine-tuning pre-trained models to improve performance on specific NLP tasks?
- Can you discuss the trade-offs between pre-training size, complexity, and generalizability in NLP?
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