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Related Questions
- What are some strategies for designing effective prompts to improve a model's transfer learning capabilities across various domains?
- Can you explain the role of linguistic and contextual features in shaping a model's generalizability across different domains?
- How does prompt engineering influence the model's ability to adapt to new and unseen data distributions?
- What are the key factors that determine the effectiveness of a prompt in facilitating a model's generalization across domains?
- Can you discuss the relationship between prompt engineering and the model's ability to learn abstract concepts and relationships?
- How can prompt engineering be used to improve a model's robustness to out-of-domain data?
- What are some best practices for evaluating the effectiveness of prompt engineering techniques in improving a model's generalizability across domains?
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