A user gives a large language model the following prompt:
"Prompt: At a conference, there are 3 presentation rooms. Each room has 8 rows of chairs, and each row has 10 chairs. If all chairs are filled, how many people are attending the presentations? Let's think step by step."
The model provides the following output:
"Output: Okay, let's break this down. First, we need to find the total number of chairs in one room. There are 8 rows with 10 chairs each, so 8 rows * 10 chairs/row = 80 chairs p
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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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Answer Extraction via Second-Round Prompting
A user gives a large language model the following prompt:
"Prompt: At a conference, there are 3 presentation rooms. Each room has 8 rows of chairs, and each row has 10 chairs. If all chairs are filled, how many people are attending the presentations? Let's think step by step."
The model provides the following output:
"Output: Okay, let's break this down. First, we need to find the total number of chairs in one room. There are 8 rows with 10 chairs each, so 8 rows * 10 chairs/row = 80 chairs p
Evaluating LLM Response Completeness
Predicting Prompting Pitfalls