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Related Questions
- How does task-specific data affect the performance of a fine-tuned language model?
- What types of task-specific data are most effective for fine-tuning a language model for a specific task?
- Can you explain the relationship between task-specific data quality and the performance of a fine-tuned language model?
- How does the size of the task-specific data set impact the fine-tuning process and model performance?
- Are there any specific characteristics or features of task-specific data that are essential for fine-tuning a language model?
- How does task-specific data influence the model's ability to generalize to unseen data?
- What are some common pitfalls or challenges associated with using task-specific data for fine-tuning a language model, and how can they be addressed?
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