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Related Questions
- What factors contribute to the effectiveness of prompts in different contextual settings?
- How does the type of context (local, global, or multi-turn) influence the quality of generated responses?
- Can you provide examples of prompts that are well-suited for different types of context?
- What are some best practices for crafting effective prompts in local, global, and multi-turn contexts?
- How does the scope of context (e.g., conversation history, user preferences) impact the performance of large language models?
- What are some strategies for adapting prompts to different contextual settings to improve overall effectiveness?
- Can you discuss the relationship between context scope and prompt engineering techniques for optimizing model performance?
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