In a text generation process, the set of candidate sequences for the next step is created by appending every word from a fixed vocabulary to the end of each sequence in the current set. If the current set contains 5 candidate sequences and the vocabulary consists of 100 words, how many new candidate sequences will be generated for the next step?
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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
Application in Bloom's Taxonomy
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In a text generation process, the set of candidate sequences for the next step is created by appending every word from a fixed vocabulary to the end of each sequence in the current set. If the current set contains 5 candidate sequences and the vocabulary consists of 100 words, how many new candidate sequences will be generated for the next step?
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