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Choosing a Decoding Strategy for a Translation Service
A company is developing a machine translation service for its public-facing website. They have two decoding algorithms to choose from for generating the final translation of a user's input.
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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
Evaluation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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Choosing a Decoding Strategy for a Translation Service
A language model is generating a summary of a document. It produces a set of candidate summaries. Candidate A has the highest individual probability (30%) but is an outlier, sharing very little phrasing with other candidates. Candidates B, C, and D have lower individual probabilities (20% each) but are all very similar to one another, forming a clear consensus. Which of the following statements most accurately predicts the behavior of two different decoding strategies?
Contrasting Decoding Objectives