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What is the purpose of chain-of-thought (CoT) prompting?

publish date: 2025/09/22 22:45:29.612619 UTC

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To specify for the large language model (LLM) which examples to use

To limit the response of the large language model (LLM)

To allow for step-by-step reasoning for complex problems

To adjust the large language model (LLM) parameters

Correct Answer

To allow for step-by-step reasoning for complex problems

Explanation

CoT prompting breaks down reasoning into smaller steps. Few-shot prompting specifies which examples to use. Output length limits the response of LLM. Prompting doesn't adjust model parameters.

Reference

AWS Certified AI Practitioner (AIF-C01) Study Guide, Tom Taulli

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