A company wants to enhance response quality for a large language model (LLM) for complex problem-solving tasks. The tasks require detailed reasoning and a step-by-step explanation process. Which…

The correct answer is D. Chain-of-thought prompting. The company wants to enhance the response quality of an LLM for complex problem-solving tasks requiring detailed reasoning and step-by-step explanations. Chain-of-thought prompting encourages the LLM to break down the problem into intermediate steps, providing a clear reasoning…

Submitted by yuki_2020· Mar 30, 2026

Question

A company wants to enhance response quality for a large language model (LLM) for complex problem-solving tasks. The tasks require detailed reasoning and a step-by-step explanation process. Which prompt engineering technique meets these requirements?

Options

AFew-shot prompting
BZero-shot prompting
CDirectional stimulus prompting
DChain-of-thought prompting

How the community answered

(28 responses)

A
4% (1)
B
7% (2)
C
18% (5)
D
71% (20)

Explanation

The company wants to enhance the response quality of an LLM for complex problem-solving tasks requiring detailed reasoning and step-by-step explanations. Chain-of-thought prompting encourages the LLM to break down the problem into intermediate steps, providing a clear reasoning process before arriving at the final answer, which is ideal for this requirement. Chain-of-thought prompting improves the reasoning capabilities of large language models by encouraging them to break down complex tasks into intermediate steps, providing a step-by-step explanation that leads to the final answer. This technique is particularly effective for problem- solving tasks requiring detailed reasoning.

Topics

#Prompt engineering#Chain-of-thought#LLM problem-solving#LLM reasoning

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