The date after which a model has no training data.
In machine learning, a knowledge cutoff (or data cutoff) is the point in time beyond which a model has not been trained on new data.
After pretraining, the model's knowledge is fixed.[\[1\]](https://en.wikipedia.org/wiki/Knowledge_cutoff#cite_note-:0-1)[\[2\]](https://en.wikipedia.org/wiki/Knowledge_cutoff#cite_note-:3-2) Therefore, a model with a…
The date after which a model has no training data. Ask about events past that date and it will either refuse or hallucinate. Patched in production by RAG or web search.
Knowledge cutoff is the date after which an AI model has no training data. "My knowledge cutoff is January 2024" means the AI does not know about anything that happened after then. Tech vocabulary. Not concerning. 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.
Knowledge cutoff is the date after which an AI model has no training data. "My knowledge cutoff is January 2024" means the AI does not know about anything that happened after then. Tech vocabulary. Not concerning. 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.
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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The vocabulary of software engineers, AI researchers, and anyone living in a terminal or on GitHub — from LLM to MCP, CORS to vibe coding, agentic to enshittification.
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The ability of an LLM to call external functions (search, code execution, databases) mid-conversation. The building block of agentic systems.
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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.
Anthropic's CLI that turns Claude into an agentic pair-programmer with filesystem, shell, and web access. Central to the rise of agentic coding in 2025.
Knowledge cutoff is an AI-industry term meaning the date after which a language model has no training data. Use in AI documentation and casual AI conversation. Formal equivalent: "training data cutoff date." Common non-native mistake: assuming the model has no information about post-cutoff events; in practice, retrieval-augmented systems may incorporate newer information through search tools or context. 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.
“In machine learning, a knowledge cutoff (or data cutoff) is the point in time beyond which a model has not been trained on new data.”
“After pretraining, the model's knowledge is fixed.[\[1\]](https://en.wikipedia.org/wiki/Knowledge_cutoff#cite_note-:0-1)[\[2\]](https://en.wikipedia.org/wiki/Knowledge_cutoff#cite_note-:3-2) Therefore, a model with a fixed knowledge cutoff is unable to provide information on facts or developments that have emerged since that time because the model is not connected to the internet.”
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; recently discovered.