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A development team is implementing a Best-of-N (BoN) sampling strategy for a creative storytelling application. Their primary goal is to generate a wide variety of imaginative and non-repetitive story continuations to present to the reranking model. Which of the following methods for generating the initial N candidates would best serve this goal?
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Ch.5 Inference - 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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Comparing Candidate Generation Methods for BoN Sampling
A development team is implementing a Best-of-N (BoN) sampling strategy for a creative storytelling application. Their primary goal is to generate a wide variety of imaginative and non-repetitive story continuations to present to the reranking model. Which of the following methods for generating the initial N candidates would best serve this goal?