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Related Questions
- What are the key characteristics of task-specific data that improve language model performance?
- How does the type and quality of training data impact the fine-tuning of a language model?
- What are the benefits of using in-domain data for fine-tuning a language model compared to out-of-domain data?
- Can you explain the concept of task-specific data and its role in fine-tuning a language model?
- What are some common pitfalls to avoid when selecting and preparing task-specific data for fine-tuning?
- How does the size and diversity of the training dataset affect the performance of a fine-tuned language model?
- What are some strategies for leveraging external knowledge sources to augment task-specific data for fine-tuning a language model?
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