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A data scientist is preparing text for a model training process. The goal is to corrupt the input by replacing individual words with a special [MASK] marker, while keeping the total number of words (including the markers) the same as the original. Given the original sentence: 'The model must predict the original words from the altered input.', which of the following sentences correctly applies this specific technique?
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Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
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Analysis in Bloom's Taxonomy
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Example Comparison of Token Masking and Token Deletion
Span Masking
A common technique to create a 'noisy' version of a text sequence for model training involves randomly selecting individual words and replacing each one with a special marker, such as
[MASK]. Given the original sentence: 'The quick brown fox jumps over the lazy dog.', which of the following options correctly demonstrates this specific technique?Identifying an Input Alteration Procedure
A data scientist is preparing text for a model training process. The goal is to corrupt the input by replacing individual words with a special
[MASK]marker, while keeping the total number of words (including the markers) the same as the original. Given the original sentence: 'The model must predict the original words from the altered input.', which of the following sentences correctly applies this specific technique?