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Related Questions
- What are the key factors that affect the efficiency of iterative refinement in large language models?
- How does prompt tuning impact the model's ability to generalize across different tasks and domains?
- What are the common pitfalls to avoid during the prompt tuning process that can lead to suboptimal results?
- Can you explain the importance of active learning in prompt tuning and how it can be incorporated into the refinement process?
- How can the use of domain-specific knowledge and ontologies be leveraged to enhance the effectiveness of iterative refinement and prompt tuning?
- What role does human feedback play in the iterative refinement process, and how can it be integrated with automatic evaluation metrics?
- What are some best practices for designing and refining informative and engaging prompts that encourage optimal model performance?
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