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Related Questions
- What are some common pitfalls to avoid when designing prompts for large language models in multi-document summarization?
- How can you ensure that the language model is able to effectively identify and extract relevant information from multiple documents?
- What are some effective ways to specify the type of summary desired (e.g. abstract, précis, etc.) in a prompt?
- How can you prevent over-generation of text and improve the coherence of summaries by optimizing prompt design?
- What are some techniques for making prompts more transparent and explainable to aid in understanding the language model's reasoning?
- How can you evaluate the effectiveness of a prompt and improve it over time as the language model adapts?
- What are some best practices for including specific entities, keywords, or topics in prompts to enhance summarization quality?
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