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A model is given a two-sentence input: 'What is the capital of France? [SEP] Paris is the capital.'. The model uses one vector representation for the first sentence (let's call it Vec_A) and a different one for the second sentence (Vec_B). For the tokenized sequence below, what is the correct sequence of these vector labels that would be assigned to each token?
[CLS] What is the capital of France ? [SEP] Paris is the capital . [SEP]
The correct sequence is: ____. (Use a comma and space to separate labels, e.g., Label1, Label2)
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Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
Related
Example of Input Embedding Composition for a Sentence Pair
A model processes a two-sentence input: 'The sky is blue. [SEP] Grass is green.'. To help the model distinguish between the two sentences, it uses a specific vector,
Vec_A, for the first sentence and another vector,Vec_B, for the second. How are these vectors assigned to the tokens in the combined input sequence?Debugging a Sentence-Pair Model
A model is given a two-sentence input: 'What is the capital of France? [SEP] Paris is the capital.'. The model uses one vector representation for the first sentence (let's call it
Vec_A) and a different one for the second sentence (Vec_B). For the tokenized sequence below, what is the correct sequence of these vector labels that would be assigned to each token?[CLS] What is the capital of France ? [SEP] Paris is the capital . [SEP]The correct sequence is: ____. (Use a comma and space to separate labels, e.g.,
Label1, Label2)