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Related Questions
- What are some common data augmentation techniques used to enhance LLMs for explanation generation?
- How does prompt engineering impact the effectiveness of data augmentation in improving LLMs for explanation generation?
- Can you provide examples of successful applications of data augmentation and prompt engineering in improving LLMs for explanation generation?
- What are the challenges associated with combining data augmentation and prompt engineering in LLMs for explanation generation?
- How does data augmentation and prompt engineering interact with other techniques, such as attention mechanisms and knowledge distillation, in improving LLMs for explanation generation?
- What are some best practices for using data augmentation and prompt engineering to improve LLMs for explanation generation?
- Can you discuss the limitations of using data augmentation and prompt engineering alone to improve LLMs for explanation generation, and suggest alternative approaches?
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