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Related Questions
- What are some common metrics used to evaluate the contextual understanding of a large language model in a multi-task learning setting?
- How do evaluation metrics for prompt optimization differ from those used for other machine learning tasks?
- What are some challenges associated with measuring the effectiveness of prompt engineering in multi-task learning?
- Can you explain the concept of in-task and out-of-task generalization in the context of prompt optimization?
- What are some strategies for designing effective evaluation protocols for multi-task learning models?
- How do different types of evaluation metrics (e.g., accuracy, F1-score, ROUGE score) apply to contextual understanding and prompt optimization?
- What are some open research questions in the field of prompt engineering and contextual understanding for multi-task learning?
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