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Related Questions
- What are the advantages of fine-tuning pre-trained language models for NLP tasks?
- How does the choice of fine-tuning or training from scratch impact the generalizability of NLP models?
- What are the key considerations when deciding between fine-tuning and training from scratch for a specific NLP task?
- Can you explain the concept of knowledge distillation in the context of fine-tuning pre-trained models?
- How does the size of the pre-trained model affect the performance of fine-tuned models?
- What are the trade-offs between fine-tuning a pre-trained model and training a model from scratch for a specific task?
- How does the choice of fine-tuning or training from scratch impact the interpretability of NLP models?
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