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Related Questions
- What are precision and recall in the context of LLM evaluation and what do they measure?
- How do precision and recall relate to the model's performance in extracting accurate information?
- What is the difference in calculating precision and recall between recall-oriented and precision-oriented datasets?
- In LLM evaluation, when a model predicts a result but it is not true, what is the tradeoff between precision and recall?
- How does recall impact the model's generalizability to new or unseen data?
- What are some best practices for optimizing precision and recall in LLMs?
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