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A user provides the following text to a large language model:
Question: A cafeteria had 23 apples. If they used 20 to make lunch and bought 6 more, how many apples do they have?
Answer: The cafeteria started with 23 apples. They used 20, so they had 23 - 20 = 3 apples. Then they bought 6 more, so they now have 3 + 6 = 9 apples. The final answer is 9.
Question: Roger has 5 tennis balls. He buys 2 more cans of tennis balls. Each can has 3 tennis balls. How many tennis balls does he have now?
Which statement best analyzes the structure of this prompt and its intended effect on the model's problem-solving process?
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Ch.2 Generative Models - 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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Few-Shot Chain-of-Thought (CoT) Prompting
A user provides the following text to a large language model:
Question: A cafeteria had 23 apples. If they used 20 to make lunch and bought 6 more, how many apples do they have?
Answer: The cafeteria started with 23 apples. They used 20, so they had 23 - 20 = 3 apples. Then they bought 6 more, so they now have 3 + 6 = 9 apples. The final answer is 9.
Question: Roger has 5 tennis balls. He buys 2 more cans of tennis balls. Each can has 3 tennis balls. How many tennis balls does he have now?
Which statement best analyzes the structure of this prompt and its intended effect on the model's problem-solving process?
Constructing a One-Shot CoT Prompt
Evaluating a Prompt for a Language Model
Example of a One-Shot CoT Prompt with Arithmetic Problems