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Related Questions
- What are the implications of data scarcity on the generalization capabilities of a fine-tuned language model?
- How does the lack of domain-specific data impact the model's ability to learn and adapt to new tasks?
- Can data scarcity lead to overfitting or underfitting in a fine-tuned language model, and how can it be mitigated?
- What are some strategies for augmenting or generating synthetic data to alleviate data scarcity in a specific domain?
- How does the quality of available data in a domain affect the performance of a fine-tuned language model, and what are the trade-offs?
- Can transfer learning from a related domain help alleviate data scarcity in a fine-tuned language model, and what are the limitations?
- What are the potential consequences of relying on a fine-tuned language model with limited domain-specific data, and how can it be addressed?
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