Special Tokens in Language Models

A language model processes text by breaking it into an ordered sequence of tokens, where each token is a unit of text (like a word or punctuation mark) with an associated position. Consider the following two sentences:

Sentence A: 'The fast car races.' Sentence B: 'The fast cars race.'

Which of the following options most accurately represents the distinct token sequences for these two sentences as a typical tokenizer would produce them?

A language model processes text by breaking it down into an ordered sequence of tokens. Arrange the following tokens to reconstruct the original sentence: 'The model predicts the next word .'

Representing Text as a Token Sequence