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Related Questions
- What are the primary advantages of fine-tuning over transfer learning in NLP?
- How does the concept of task-specific training differ from general knowledge transfer in NLP?
- Can you provide an example of a scenario where fine-tuning is more effective than transfer learning in NLP?
- What are some common applications of transfer learning in NLP that do not require fine-tuning?
- How does the size of the task-specific dataset affect the decision to use fine-tuning or transfer learning?
- What are some challenges associated with fine-tuning in NLP, particularly when dealing with out-of-distribution data?
- Can you explain the role of pre-training in both fine-tuning and transfer learning in NLP, and how it impacts the performance of the model?
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