AI Lingo for Everyday People
Understanding AI fundamentals is essential for today's workplace success. Rather than diving into complex technical details, we'll focus on practical knowledge that you can immediately apply to your work. This foundation will help you navigate AI tools confidently and make informed decisions about incorporating AI into your daily tasks.
Common AI Terms
Understanding AI doesn't require a computer science degree, but knowing some key terms can help you navigate conversations and decisions with confidence. Think of this glossary as your starter kit for AI literacy. These ten fundamental terms are ones you'll encounter frequently in workplace discussions about AI, and understanding them will help you participate more effectively in AI-related conversations and projects.
Algorithm
A set of step-by-step instructions that tell AI how to complete a task - like a cooking recipe, but for computers.
Deep Learning
A way AI learns by finding patterns in large amounts of data, similar to how humans learn from repeated experiences.
Generative AI
AI systems that can create new content (text, images, code) rather than just analyzing existing information.
Large Language Model (LLM)
AI systems trained on vast amounts of text that can understand and generate human-like language - think of them as extremely well-read digital assistants.
Machine Learning
The process where computers learn from examples rather than being explicitly programmed - like learning from experience rather than following a rulebook.
Neural Network
A computer system designed to process information similarly to the human brain, learning from examples to recognize patterns.
Prompt
The input (question, instruction, or request) you give to an AI system to get the response you want - like giving directions to a helpful assistant.
RAG (Retrieval-Augmented Generation)
A system that combines AI with specific knowledge bases - imagine giving an AI access to your company's manual before asking it questions.
Tokens
The individual units (parts of words or characters) that AI processes - like the pieces of a puzzle that make up complete thoughts.
Training Data
The information used to teach AI systems - like the textbooks and examples used to educate a student about a subject.
Want to deepen your understanding?
Check out my "Explaining AI" series on YouTube, where I break down complex AI concepts into bite-sized, practical insights. Each 3-5 minute video answer a common AI question I've gotten, helping you build confidence in AI discussions without getting lost in the technical weeds.
Subscribe to the channel and start with the "What is Generative AI?" video to begin your journey from AI-aware to AI-fluent. More will be posted throughout the month!
More About the Series
This article is part of the Resolution Proof Your Career: Thriving in the AI Workplace series - a 6-week career transformation series designed for professionals who want to turn their 2025 AI career resolutions into reality - starting now, not January. It’s not too late to join! Subscribe to the Millennial Workweek newsletter to get the next exercise in the series and visit the Millennial Workweek website to get caught up!
