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Related Questions
- What are the key differences between masked language modeling and next sentence prediction objectives in fine-tuning?
- How does the choice of fine-tuning objective affect the model's ability to capture long-range dependencies in text?
- Can you explain the impact of fine-tuning objective on the model's ability to generate coherent and contextually relevant text?
- What are some common fine-tuning objectives used in natural language generation tasks, and how do they differ?
- How does the fine-tuning objective influence the model's ability to learn from unlabeled data?
- What are some potential pitfalls or limitations of using certain fine-tuning objectives in natural language generation tasks?
- Can you discuss the trade-offs between using a single fine-tuning objective versus using a combination of objectives?
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