A system calculates the total risk for a candidate output 'y' against a set of reference outputs 'yr' using the formula: Risk(y) = Σ [R(y, yr) * Pr(yr|x)], where R(y, yr) is a risk function and Pr(yr|x) is the probability of a reference output. Assume the risk function R(y, yr) returns a value of 1 if y is different from yr, and 0 otherwise. If the probability, Pr(yr|x), of a specific reference output 'yr' that is different from the candidate 'y' increases, what is the direct impact on the calculated Risk(y)?
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Ch.3 Prompting - 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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Calculating Output Risk in a Generation Task
A system calculates the total risk for a candidate output 'y' against a set of reference outputs 'yr' using the formula: Risk(y) = Σ [R(y, yr) * Pr(yr|x)], where R(y, yr) is a risk function and Pr(yr|x) is the probability of a reference output. Assume the risk function R(y, yr) returns a value of 1 if y is different from yr, and 0 otherwise. If the probability, Pr(yr|x), of a specific reference output 'yr' that is different from the candidate 'y' increases, what is the direct impact on the calculated Risk(y)?
Role of Probability Weighting in Risk Calculation