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A prompt engineer is crafting a few-shot demonstration to teach a language model how to solve multi-step financial problems. The goal is to create a clear, replicable reasoning pattern that the model can follow. Below are two versions of the reasoning chain for the same problem.
Problem: Calculate the total amount after 2 years if $1000 is invested at an annual interest rate of 5%, compounded annually.
Version A: The principal is $1000 and the rate is 5%. After the first year, the inte
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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
Evaluation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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A prompt engineer is creating a few-shot example to teach a language model how to solve a word problem. The goal is to make the model's reasoning process, especially the arithmetic, as clear and explicit as possible for the model to learn from. Given the problem: 'A warehouse had 500 boxes. On Monday, they received a shipment of 150 new boxes. On Tuesday, they shipped out 75 boxes. How many boxes are left?', which of the following reasoning chains best achieves the goal by clearly demarcating th
Applying Calculation Annotation to a Reasoning Chain
A prompt engineer is crafting a few-shot demonstration to teach a language model how to solve multi-step financial problems. The goal is to create a clear, replicable reasoning pattern that the model can follow. Below are two versions of the reasoning chain for the same problem.
Problem: Calculate the total amount after 2 years if $1000 is invested at an annual interest rate of 5%, compounded annually.
Version A: The principal is $1000 and the rate is 5%. After the first year, the inte