Chain of thought is an AI technique where the model writes out its reasoning step by step before giving an answer. Often abbreviated CoT. Tech jargon. Not concerning. If your kid talks about it they are interested in how AI thinks. If your kid uses it constantly, ask them where they first heard it, not to police their speech but to understand which online community they are in.
chain of thought
Prompting or training technique where an LLM produces intermediate reasoning steps before the final answer, dramatically improving accuracy on multi-step problems.
Etymology timeline
Born ~2022 · no dated citations yetSeen in the wild
And through that lens, I've been thinking "chain of thought" seems like basically the same thing but with a _film noir_ styling-twist.<br>The LLM is trained to include an additional layer of "unspoken" text in the doc…
Each separate thought is constructed using chain of thought to improve the reliability.
The train of thought, or occasionally, chain of thought refers to the interconnection in the sequence of ideas expressed during a connected discourse or thought, as well as the sequence itself, especially in discussio…
Definitions
Prompting or training technique where an LLM produces intermediate reasoning steps before the final answer, dramatically improving accuracy on multi-step problems.
"Adding ‘think step by step' enables chain of thought and fixed the math errors."
Chain of thought is an AI technique where the model writes out its reasoning step by step before giving an answer. Often abbreviated CoT. Tech jargon. Not concerning. If your kid talks about it they are interested in how AI thinks. If your kid uses it constantly, ask them where they first heard it, not to police their speech but to understand which online community they are in.
Chain of thought (often abbreviated CoT) is an AI prompting and training technique where a model writes intermediate reasoning steps before producing an answer. Use in AI research and engineering contexts. Formal equivalent: "intermediate reasoning trace." Common non-native mistake: using it generally to mean any reasoning; in AI it specifically refers to the explicit, written-out step-by-step output style. Read or listen to the word in context several times before trying it yourself; the right register is harder to learn than the dictionary meaning.
“And through that lens, I've been thinking "chain of thought" seems like basically the same thing but with a _film noir_ styling-twist.<br>The LLM is trained to include an additional layer of "unspoken" text in the document, a source of continuity which substitutes for how the LLM has no other memories or goals to draw from.<br>"The capital of Assyria?”
“Each separate thought is constructed using chain of thought to improve the reliability.”
“The train of thought, or occasionally, chain of thought refers to the interconnection in the sequence of ideas expressed during a connected discourse or thought, as well as the sequence itself, especially in discussion of how this sequence leads from one idea to another.”
Comments
A connected sequence of ideas, reasoning, or mental associations that someone experiences in thinking; the logical or associative progression of someone’s reasoning.
Comments
A sequence of intermediate reasoning steps generated by a model to break down and solve a problem before producing its final answer or response.
Comments
For specific readers
Why is this section here?
Slang is read by different audiences for very different reasons. The For parents view re-explains the term in plain, non-judgemental language so a caregiver can understand what their child means without needing the surrounding subculture. The For English learners view focuses on register (when it's safe to use), formal alternatives, and common mistakes — what a textbook won't teach you.
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Semantically related
- reasoning model80%
An LLM trained or configured to produce long chains of internal "thinking" tokens before answering — trading latency for higher accuracy on complex problems. OpenAI's o1 and Claude's extended thinking are examples.
- prompt engineering76%
The craft of writing inputs to LLMs to reliably produce the output you want. Includes role-setting, few-shot examples, chain-of-thought, and careful phrasing.
- prompt engineering70%
The technique of formulating instructions (prompts) for a generative AI, in order that it produce the expected output.
- tool use69%
The ability of an LLM to call external functions (search, code execution, databases) mid-conversation. The building block of agentic systems.