---
title: "AI Quick Tips 129: Non-techie definitions of AI terms, Part V"
description: Learn five essential AI terms explained in non-technical language, perfect for beginners. Understand concepts like tokenization, context window, and inference in simple terms.
image: https://thoughtsbrewing.com/hubfs/AI%20Quick%20Tips-1.jpg
---

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# AI Quick Tips 129: Non-techie definitions of AI terms, Part V

 January 30, 2025

![Picture of Damien Griffin](https://app.hubspot.com/settings/avatar/20cb51297a34e5d5d7c3362ec1fae755) [Damien Griffin](https://thoughtsbrewing.com/blog/author/damien)

![AI Quick Tips](https://thoughtsbrewing.com/hubfs/AI%20Quick%20Tips-1.jpg)

If you’ve been following the series, here are 5 more terms.  If not, here’s 5 more anyway.

**Token**

- A unit of input for an AI model 
    - Kinda like a unit of money is a penny (in the US at least) or a unit of language is a letter

**Tokenization**

- The process that AI tools use to break down input into tokens
- For example, if the input was the word “asparagus,” it might be tokenized as ‘aspar’ and ‘agus’
- There are actually a lot of different ways that input can be tokenized (by letter, by word, by subword, etc.)
- The model used determines how things are tokenized

**Context Window**

- The number of tokens that a model can process at one time
- If you go over this number, the model will start to “forget” information

**Inference**

- An AI tool guessing what you want
- Similar to human inference.  Think about any time someone says, “You know what I mean”

**API (Application Programming Interface)**

- A way for applications to talk to each other

*\*Note - You could argue that this is still kinda techie.  You’d probably be right.  On the bright side, imagine how complicated the full techie definitions might be*

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