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Normalizing Model Outputs
Given the scenario below, calculate the value of the normalizing constant required to turn the scores into a valid probability distribution, and then determine the final probability for 'Outcome A'.
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Data Science
Foundations of Large Language Models Course
Computing Sciences
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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Log-Likelihood Gradient
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A model produces unnormalized scores for three possible outcomes: {Outcome A: 8, Outcome B: 10, Outcome C: 2}. To convert these scores into a valid probability distribution, a normalization constant must be calculated by summing all the unnormalized scores. What is the final, normalized probability for Outcome B?
Computational Cost of Normalization
Related
Log-Likelihood Gradient
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A model produces unnormalized scores for three possible outcomes: {Outcome A: 8, Outcome B: 10, Outcome C: 2}. To convert these scores into a valid probability distribution, a normalization constant must be calculated by summing all the unnormalized scores. What is the final, normalized probability for Outcome B?
Computational Cost of Normalization