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Related Questions
- What are the primary goals of fine-tuning a pre-trained language model?
- How does fine-tuning a pre-trained model compare to training a model from scratch in terms of computational resources?
- What are some common techniques used to fine-tune pre-trained language models for specific tasks?
- What are the advantages and disadvantages of training a model from scratch versus fine-tuning a pre-trained model?
- How does the choice of pre-trained model and the task-specific dataset impact the fine-tuning process?
- What are some best practices for selecting a suitable pre-trained model for fine-tuning?
- Can fine-tuning a pre-trained model be used for zero-shot or few-shot learning on new tasks?
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