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Related Questions
- What are common evaluation metrics used to measure an LLM's ability to generalize across different cue conditions?
- How can you design a dataset to effectively test an LLM's generalizability across various cue conditions?
- What are some common pitfalls to avoid when assessing an LLM's generalization ability across different cue conditions?
- Can you explain the difference between in-distribution and out-of-distribution generalization, and how to evaluate them?
- How do you recommend fine-tuning or adapting an LLM to improve its generalization across different cue conditions?
- What are some benchmark datasets or tasks that are commonly used to evaluate an LLM's ability to generalize across varying cue conditions?
- How can you use transfer learning to improve an LLM's generalization ability across different cue conditions?
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