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Related Questions
- What are the primary goals of active learning in the context of large language model (LLM) prompt refinement?
- How does active learning help improve the accuracy and effectiveness of LLMs in understanding the nuances of human language?
- Can you explain the concept of uncertainty sampling in active learning and its application in LLM prompt refinement?
- What are some common metrics used to evaluate the performance of LLMs in the active learning loop?
- How can automated testing tools such as human evaluation, model evaluation, and adversarial testing facilitate the active learning process in LLM prompt refinement?
- What are some best practices for designing and implementing effective active learning strategies for LLM prompt refinement?
- How does active learning address the issue of prompt overfitting in LLMs, and what are some common techniques used to mitigate it?
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