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Related Questions
- How do you optimize your language model for both in-domain and out-of-domain tasks?
- What techniques can you use to balance the trade-off between specificity and generalizability in your output?
- Can you provide examples of prompts that achieve a good balance between detail and generalizability?
- How do you handle the tension between providing precise answers and being overly specific?
- What strategies can you employ to ensure your responses are relevant and generalizable across different contexts?
- Can you explain the concept of 'prompt engineering' and its role in achieving balance between specificity and generalizability?
- How do you measure the balance between detail and generalizability in your language model's output?
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