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Topics/Tokenization/Unigram Lm

Unigram Lm

Subtopic4 questions

Questions tagged with Unigram Lm — part of Tokenization.

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BPE grows the vocabulary by adding merges. Unigram does the opposite. Explain the difference.
FlashcardEasy
Explain the Unigram LM tokenization algorithm and how its training differs fundamentally from BPE. What does stochastic tokenization enable?
Short AnswerHard
Which statement correctly describes the Unigram Language Model tokenizer's training procedure?
Multiple ChoiceMedium
Spot the error: 'BPE finds the globally optimal vocabulary by iteratively merging the most frequent pair.'
Spot the ErrorMedium

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