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A research team is using a single large language model to generate a balanced and comprehensive summary of a complex, multi-perspective news article. To improve the quality of the final output, they decide to generate several different responses and combine them. Which set of prompts is most likely to produce the varied outputs needed for a high-quality, aggregated summary?
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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A research team is using a single large language model to generate a balanced and comprehensive summary of a complex, multi-perspective news article. To improve the quality of the final output, they decide to generate several different responses and combine them. Which set of prompts is most likely to produce the varied outputs needed for a high-quality, aggregated summary?
Diagnosing Ineffective Prompt Combination
Evaluating a Prompt Ensemble Strategy