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Related Questions
- What are the common pitfalls in fine-tuning medical language models, and how can they be overcome?
- How do domain-specific techniques such as data augmentation and transfer learning improve the performance of medical language models?
- What are the key differences between fine-tuning and training from scratch for medical language models, and when is each approach more suitable?
- How do medical domain-specific datasets and knowledge graphs impact the performance of fine-tuned language models?
- What role do hyperparameter tuning and model selection play in fine-tuning medical language models for specific tasks?
- Can you explain the concept of 'medical domain adaptation' and how it relates to fine-tuning language models for medical tasks?
- How do techniques such as active learning and few-shot learning enhance the performance of fine-tuned medical language models?
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