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Related Questions
- What are the primary objectives of multi-task learning in NLP?
- How does multi-task learning differ from transfer learning in terms of model architecture and training process?
- Can you provide examples of tasks that are commonly used in multi-task learning for NLP?
- What are the benefits of using multi-task learning for NLP, such as improved generalization and adaptability?
- How does transfer learning leverage pre-trained models and fine-tuning for NLP tasks?
- What are the key differences in the way multi-task learning and transfer learning handle task-specific and shared knowledge?
- Can you discuss the trade-offs between multi-task learning and transfer learning in terms of model complexity and computational resources?
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