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Related Questions
- How do intent-based prompts help large language models handle unknown or unseen words during inference?
- Can you explain the role of intent-based prompt engineering in improving the robustness of models to out-of-vocabulary words?
- What techniques do you use to incorporate intent-based design principles to minimize the impact of unknown words on model performance?
- How does intent-based prompt engineering address the issue of limited training data and its effects on model coverage?
- Can you provide examples of intent-based prompts that help mitigate the effects of out-of-vocabulary words on model accuracy?
- What are the key considerations when designing intent-based prompts to improve model performance in low-resource domains?
- How does intent-based prompt engineering contribute to reducing the gap between model performance on in-domain and out-of-domain data?
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