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Related Questions
- What are the optimal prompt lengths for achieving high accuracy in few-shot learning tasks?
- How does the complexity of natural language prompts impact the model's ability to generalize knowledge?
- What are the trade-offs between prompt length, complexity, and model performance in few-shot learning?
- Can shorter prompts improve model efficiency in few-shot learning, and if so, at what cost to accuracy?
- How do language model architects balance prompt length and complexity to achieve optimal performance in few-shot learning?
- What are some best practices for crafting optimal prompts for few-shot learning tasks, and how can they be applied to improve model performance?
- How does the combination of prompt length and complexity influence the model's ability to learn from few-shot examples and adapt to new tasks?
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