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Analyzing Prompt Specificity through Conditional Probability
A user is trying to learn about the role of eagles in ancient Rome. Analyze the two interactions below. Using the formal framework of text generation as a conditional probability task (), explain why the second interaction was more successful than the first.
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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
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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