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Formal Prediction Expressions for Different Objectives
Consider two different predictive modeling scenarios:
- Scenario A: A model's objective is to minimize an error function, denoted as
Error(y), whereyrepresents a possible output. - Scenario B: A model's objective is to maximize a likelihood function, denoted as
Likelihood(y), whereyrepresents a possible output.
For each scenario, write the complete formal expression that defines the predicted value, ŷ.
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Ch.3 Prompting - 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
Social Science
Empirical Science
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Predictive Inference in Large Language Models
A predictive model is designed to generate an output, , that minimizes a given loss function, , which measures the error of the prediction. Which of the following expressions correctly represents the formal definition of the model's predicted value, ?
Formal Prediction Expressions for Different Objectives
A predictive model's output, , is formally defined as the argument that optimizes an objective function. Match each modeling objective to the correct formal expression that represents it.