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Explaining Model Behavior with Conditional Probability
A user provides a language model with the one-word input: bank. The model responds with: A bank is a financial institution that accepts deposits from the public...
Using the framework where text generation aims to find an output y that maximizes the probability Pr(y|x), explain why the model likely produced this specific definition instead of a response about a river bank.
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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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A user wants a language model to generate a specific two-sentence summary about the sun. Consider two possible inputs:
Input A:
Summarize the sun.Input B:In two sentences, describe the sun's composition and its role as the center of our solar system.From the perspective of text generation as a task of maximizing the probability of an output given an input, which statement best analyzes the relationship between these inputs and the desired output?
Explaining Model Behavior with Conditional Probability
Analyzing Prompt Specificity through Conditional Probability