Chain-of-thought prompting
Asking the model to produce intermediate reasoning steps before the final answer, which measurably improves accuracy on multi-step arithmetic, logic, and planning tasks. It does less for tasks that were already a single lookup.
Why exams ask this
Tested as a reasoning-task question, not a general-purpose upgrade. The distractor applies it to a simple lookup or classification task, where it adds tokens and latency without improving the answer.
Relevant to
AI Fluency: Framework and FoundationsGenerative AI FundamentalsGenerative AI LeaderOCI Generative AI ProfessionalAI Agents CourseGenerative AI and LLMs, NCA-GENLAI Engineering Professional CertificateCertified Machine Learning Engineer, AssociateClaude Code in ActionClaude Certified Architect, Foundations
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