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Related Questions
- What are the advantages of fine-tuning pre-trained language models compared to training from scratch in low-data scenarios?
- How does the level of domain knowledge in the pre-trained model impact the performance of fine-tuned models in low-data scenarios?
- Can you explain the concept of catastrophic forgetting in the context of fine-tuning pre-trained language models and how can it be mitigated?
- What are the common techniques used to adapt pre-trained language models to new tasks in low-data scenarios?
- How does the size of the pre-trained model impact the performance of fine-tuned models in low-data scenarios?
- What are the potential risks of over-fitting when fine-tuning pre-trained language models in low-data scenarios?
- Can you compare and contrast the performance of fine-tuned pre-trained language models with that of models trained from scratch in low-data scenarios?
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