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Related Questions
- What are the main advantages of fine-tuning a pre-trained language model for a specific NLP task?
- Can you explain how fine-tuning a pre-trained model improves performance on downstream NLP tasks?
- What types of NLP tasks are best suited for fine-tuning a pre-trained language model?
- How does fine-tuning a pre-trained model adapt to the specific domain and characteristics of a downstream task?
- Can you provide examples of how fine-tuning a pre-trained language model has led to improved results in NLP tasks?
- What are some common challenges and limitations associated with fine-tuning pre-trained language models?
- How can fine-tuning a pre-trained language model be optimized for best results, considering factors like model size and task requirements?
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