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Related Questions
- How can prompt engineering be used to control attention in LLMs and enhance their performance in downstream tasks?
- What are some techniques for designing prompts that effectively direct attention in LLMs, such as specific wording or phrasing?
- Can you provide examples of how prompt engineering has improved the performance of LLMs in tasks such as question answering or text classification?
- How does the use of specific keywords or entities in prompts influence attention in LLMs and impact their performance?
- What role does contextual information play in prompt engineering, and how can it be used to improve attention and performance in LLMs?
- Can you explain the concept of 'prompt priming' and how it can be used to influence attention and improve performance in LLMs?
- How can prompt engineering be used to mitigate the problem of 'attention drift' in LLMs, where the model's attention shifts away from the intended task?
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