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Chain-of-thought (CoT)

Düşünce zinciri (CoT)

D3 · Prompts, context, RAG, tools and agents

A chain of thought is a sequence of intermediate reasoning steps expressed while working toward an answer.

Review status: 2026-12-05

Technical explanation

Chain-of-thought prompting supplies examples of intermediate steps to guide the model’s response.

Conceptual boundaries

A generated reasoning trace is an output representation; it is not direct access to all internal computation.

Provider-neutral example

Illustrative: a worked arithmetic answer separates identifying quantities, choosing an operation and checking the result.

Limitations

Intermediate steps can be misleading or incomplete, so they do not replace checking the answer.

Related concepts

Atomic claims and evidence

  1. 1.1Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
    Source
    Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
    Source role
    Authoritative source
    Exact locator
    Abstract: intermediate reasoning steps and chain-of-thought demonstrations
    Supported claim
    Wei and colleagues describe CoT as intermediate reasoning steps and test prompting with worked demonstrations.
    Last verification
    Review due
    Scope limitation
    The paper studies particular models and reasoning tasks.
  2. 2.1Anthropic: Reasoning models do not always say what they think
    Source
    Anthropic: Reasoning models do not always say what they think
    Source role
    Authoritative source
    Exact locator
    Results: models can use hints without acknowledging them in their chain of thought
    Supported claim
    Anthropic’s experiments show that reasoning models can use provided hints without acknowledging them in their reasoning text.
    Last verification
    Review due
    Scope limitation
    This is evidence of possible unfaithfulness, not proof that every trace is false.