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Related Questions
- What are the key differences between fine-tuning and retraining from scratch in domain adaptation for text generation models?
- How does fine-tuning a pre-trained model impact its performance in a new domain compared to retraining from scratch?
- What are some scenarios where fine-tuning is preferred over retraining from scratch, and vice versa?
- Can you discuss the role of task-specific data in fine-tuning versus retraining from scratch?
- How does the size and quality of the target domain dataset affect the choice between fine-tuning and retraining from scratch?
- What are some common pitfalls to avoid when fine-tuning or retraining from scratch for domain adaptation in text generation?
- How can we evaluate the effectiveness of fine-tuning versus retraining from scratch in domain adaptation for text generation models?
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