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    Chain of Thought

    AI fundamentals & modelsCoTThought chainIntermediate steps in the conclusion
    Editorially reviewed on: 1 source
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    The short answer · 21 words

    In short

    A sequence of explicitly generated intermediate steps, with which a language model breaks down a complex task into several partial considerations.

    Flow-alerta.cab (2026): Chain of Thought. https://flow-alerta.cab/en/glossar/chain-of-thought. Editorially reviewed on: 09 October 2026.

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    Practical

    Important for understanding reasoning procedures and prompting research. For productive applications, the quality of the final response should be independently tested.

    Example scenario: In a mathematical text task, a model generates several comprehensible computation steps before outputting the result.

    In the case of applications, it is more likely to require verifiable short justifications, sources, calculations and tool results than to use long free thought processes as proof of quality.

    At a glance

    Core
    In research, Chain of Thought refers to textual intermediate steps between task and response that can support complex inference. These visible justification steps are not equivalent to a complete or reliable insight into internal model states; modern systems can also use hidden internal reasoning.
    Use
    Important for understanding reasoning procedures and prompting research. For productive applications, the quality of the final response should be independently tested.
    Example
    Example scenario: In a mathematical text task, a model generates several comprehensible computation steps before outputting the result.
    Limits
    Interpreting Chain of Thought as guaranteed true reasoning; equating visible explanation with complete internal modeling process; automatically holding long reasoning for better answers.

    In context

    Chain-of-Thought Prompting

    Prompting method, where examples or instructions encourage a language model to create explicit intermediate steps before responding.

    Prompt Engineering

    Methodological formulation and structuring of instructions to achieve consistent and high-quality AI results.

    Questions about this term

    Is Chain of Thought proof that the answer is true?

    No.

    Is visible CoT identical to internal model reasoning?

    No.

    Can CoT help with complex tasks?

    In certain models and tasks, yes.

    All details and background

    In research, Chain of Thought refers to textual intermediate steps between task and response that can support complex inference. These visible justification steps are not equivalent to a complete or reliable insight into internal model states; modern systems can also use hidden internal reasoning.

    ELI5 – Explained simply

    Instead of immediately mentioning only the final result, the model breaks down a task into several visible intermediate steps.

    Why it matters in practice

    Important for understanding reasoning procedures and prompting research. For productive applications, the quality of the final response should be independently tested.

    Example

    Example scenario: In a mathematical text task, a model generates several comprehensible computation steps before outputting the result.

    Pitfalls and limits

    • Interpreting Chain of Thought as guaranteed true reasoning; equating visible explanation with complete internal modeling process; automatically holding long reasoning for better answers.

    Origin & history

    Chain-of-thought-prompting became well known in 2022 through work by Wei and co-authors and was studied as a method for complex reasoning tasks.

    Use in mid-sized companies

    • In the case of applications, it is more likely to require verifiable short justifications, sources, calculations and tool results than to use long free thought processes as proof of quality.

    Related terms

    Matching Flow-alerta service

    AI adoption & supportAI implementation & support: clarify usage guidelines, limits, responsibilities and escalation paths.

    Matching tool / use case

    View use casesUse Case: structured problem solving with verifiable intermediate results instead of mere final answer.

    Sources

    • arxiv.orgWei et al., Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

    Quellenprüfung: 09.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.

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