Discriminator Labeling Logic
A text-processing system uses a 'generator' to alter a sentence and a 'discriminator' to identify the changes. The discriminator labels each token as 'original' or 'replaced'. Consider this scenario: The original sentence is 'The cat sat on the mat.' The generator is tasked with replacing the word 'sat', but it happens to choose 'sat' as the replacement. The sentence given to the discriminator is therefore unchanged: 'The cat sat on the mat.' Explain how a correctly functioning discriminator should label the word 'sat' and provide the reasoning for this label.
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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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A text-processing system is designed to identify altered words in a sentence. It uses a 'generator' to produce a new version of an original sentence, and then a 'discriminator' to label each word in the new sentence as either 'original' (if it's the same as the word in the original sentence) or 'replaced' (if the generator changed it).
Original Sentence: "The scientist discovered a new planet." Generator's Output Sentence: "The scientist found a new planet."
Based on its task, how should the discriminator label the words 'found' and 'planet' in the generator's output sentence?
Discriminator Labeling Logic
Evaluating a Token Classification System