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A research paper describing a language model states: 'The model is trained to predict the next word in a sequence. During inference, for a given sequence of preceding words, the model selects the word y that maximizes Pr(y).' What does the notation Pr(y) most accurately represent in this specific context?
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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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Interpreting Simplified Probability Notation
A research paper describing a language model states: 'The model is trained to predict the next word in a sequence. During inference, for a given sequence of preceding words, the model selects the word
ythat maximizesPr(y).' What does the notationPr(y)most accurately represent in this specific context?A researcher is developing a machine translation model that translates a French sentence,
f, into an English sentence,e. In their paper, they consistently use the notationPr(e)to represent the probability of the translated English sentence. Which of the following statements provides the most accurate evaluation of this notational choice?