AI Vocabulary · 01 The Model
What is Knowledge Cutoff?
The date after which a model learned nothing new. Anything later must be given to it.
A model learns from data collected up to a certain date. That date is its knowledge cutoff. Events, prices, laws, product versions and people's roles after it simply don't exist for the model, unless they are put into its context.
The model usually doesn't notice where its knowledge ends. Asked about something newer, it tends to fill the gap with an answer based on older patterns, which is a common source of hallucinations. Many apps reduce this with web search or RAG.
Why it matters for you
Be careful with anything time-sensitive: regulations, prices, current events, software versions. Check whether your tool searches the web or works only from memory, and verify dates.
Own it
You control the freshness of your AI's answers by controlling what you give it. Current documents in the context beat outdated memory every time.
Where it comes from
The term became common with chat assistants whose makers state the date their training data ends. Researchers then found the stated date is not the whole story: the 2024 study Dated Data showed that a model's effective knowledge of a topic often differs from its reported cutoff, partly because older copies of web pages keep reappearing in newer data collections. Knowledge cutoff (Wikipedia)
Related
Your AI Learning Hub
Learn the whole AI Vocabulary, step by step, and build with it. Build it. Own it.