A model is being trained on a denoising task where corrupted text spans are replaced by unique sentinel tokens. If the model receives the input The [X] fox jumps over [Y] dog., what should the corresponding target output be to correctly associate [X] with 'quick brown' and [Y] with 'the lazy'?
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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
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A model is being trained on a denoising task where corrupted text spans are replaced by unique sentinel tokens. If the model receives the input
The [X] fox jumps over [Y] dog., what should the corresponding target output be to correctly associate[X]with 'quick brown' and[Y]with 'the lazy'?Constructing Target Output for Span-Based Denoising
A language model is being trained on a span-based denoising task where corrupted text spans are replaced by unique sentinel tokens. Match each corrupted input sentence on the left with its correctly formatted target output on the right.