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Related Questions
- How does the level of task granularity impact the performance of large language models during the refinement process?
- Can you explain the concept of abstraction levels in LLM refinement and how they relate to task granularity?
- What are the implications of using high-level tasks versus low-level tasks in LLM refinement on model performance?
- How does the interaction between task granularity and abstraction levels influence the development of more accurate and robust LLMs?
- What are some strategies for adjusting task granularity to optimize LLM refinement for specific applications?
- Can you provide examples of tasks with varying granularities and their corresponding abstraction levels in LLM refinement?
- How does the trade-off between task granularity and abstraction levels affect the scalability of LLM refinement for large-scale models?
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