Which statement best describes the Chain-of-Thought (COT) prompting technique?

Question

Options

• ALinking multiple Al models in sequence, where each model's output becomes the input for the next
• BWriting a series of connected prompts creating a chain of related information.
• CConcatenating multiple related prompts to form a chain, guiding the model through sequential
• DConnecting related concepts by having the LLM generate chains of ideas.

• A
  14% (7)
• B
  4% (2)
• C
  74% (37)
• D
  8% (4)

Explanation

Option C is correct because Chain-of-Thought prompting works by structuring the prompt itself as a sequence of connected reasoning steps, guiding the LLM to work through a problem incrementally rather than jumping directly to an answer - the "chain" refers to reasoning steps within the prompt, not separate models or separate prompts.

Why the distractors are wrong:

• A describes model chaining or pipeline architectures (e.g., LangChain pipelines), where multiple distinct models pass outputs between them - a completely different concept.
• B is too vague and implies separate, independent prompts sent over time, missing COT's defining feature: the sequential reasoning structure embedded within a single prompt.
• D describes something closer to brainstorming or concept mapping - free-form idea generation - not the disciplined, step-by-step logical progression that defines COT.

Memory tip: Think of COT as "show your work" prompting - just like a teacher asks students to write out each math step rather than just the final answer, COT prompts the model to reason through intermediate steps sequentially before reaching a conclusion.

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