An auto-regressive language model calculates the probability of a sequence of words one step at a time, where each step depends on the words that came before it. Arrange the following calculations in the correct order that such a model would use to determine the total probability of the sentence 'The cat sat.'
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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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Application in Bloom's Taxonomy
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An auto-regressive language model calculates the probability of a sequence of words one step at a time, where each step depends on the words that came before it. Arrange the following calculations in the correct order that such a model would use to determine the total probability of the sentence 'The cat sat.'
An auto-regressive language model is tasked with calculating the total probability of the sentence 'The quick brown fox'. According to the principles of sequential probability calculation, which of the following expressions correctly represents the probability of the word 'brown' at its specific position in the sentence?
Sentence Probability Comparison