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Related Questions
- How do you handle ambiguity in user input when designing language models?
- What strategies can be employed to ensure that prompts are clear and unambiguous while still allowing for flexibility in language models?
- Can you discuss the trade-offs between precision and flexibility in language model design?
- How do you handle out-of-vocabulary words or concepts in language models when the prompt is unclear?
- What techniques can be used to improve the interpretability of language models and their responses to ambiguous prompts?
- Can you explain the concept of 'prompt engineering' and its role in balancing flexibility and clarity in language models?
- How do you evaluate the effectiveness of language models in handling complex and open-ended prompts?
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