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Understand These 6 AI Terms Before You Trust Another AI Answer
Tokens, context windows, temperature, hallucinations, RAG, and agents — explained through the decisions you actually make.
You upload a report. The AI produces a confident summary, complete with a number you cannot find anywhere in the document.
You ask it to check. It apologizes and supplies a different number.
What went wrong? Missing information? A retrieval failure? An invented answer? Understanding a few AI terms helps you ask a better question than “Why is this thing lying?”
There is a measurable reason to care. In Stack Overflow’s 2025 Developer Survey, 46% of respondents to its accuracy question distrusted AI output, compared with 33% who trusted it. That question received 33,244 responses. These are developer opinions, not measurements of model accuracy or a representative survey of humanity. Still, they capture a useful tension: people can use AI and remain unconvinced by its answers. Source: Stack Overflow
Knowing six definitions will not establish that you understand AI better than 90% of people. That ranking would require an actual assessment and a defined population. What these concepts can give you is a practical way to spot mistakes, control costs, and judge product claims.
