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Creating an Indexed Token Sequence
A common method for representing text for a language model is to create an indexed token sequence, where each token (a word or punctuation mark) is paired with its numerical position in the sequence. Following this method, what is the correctly indexed token sequence for the sentence: The model predicts the next word.?
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Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
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A language model processes text by representing it as a sequence where each token (a word or punctuation mark) is assigned a numerical index corresponding to its position. Analyze the following indexed token sequence:
The1 quick2 brown3 fox5 jumps6 over7 the8 lazy9 dog10 .11. Which statement best identifies the error in this representation?Creating an Indexed Token Sequence
In the indexed token sequence
The1 quick2 brown3 fox4, the number4assigned to the tokenfoxrepresents its unique identifier within the model's overall vocabulary.