AI Basics
No computer science degree required to understand what AI really is.
Machines That Learn
Think about how we all learned to read handwriting. Nobody handed us a rulebook of every possible way someone might write the letter "A." Instead, we saw hundreds of examples: messy ones, neat ones, big ones, small ones. Over time, our brains picked up on the pattern. Now most of us can read almost anyone's handwriting, even styles we have never seen before.
AI works the same way, just on a bigger scale.
Modern AI systems learn by processing massive amounts of examples: billions of pages of text, millions of images, countless hours of audio and video. They don't memorize all of it like a hard drive. Instead, they identify patterns: how words fit together, how sentences flow, what usually comes next, what a dog looks like versus a cat, how music is structured.
This process is called machine learning. It is the foundation of nearly every AI system in use today. Rather than being programmed with explicit rules for every possible situation, these systems learn from data, improve over time, and apply what they have learned to new situations they have never encountered before.
But there is one particular type of machine learning that has captured the world's attention, and it is the one most people are referring to when they talk about AI today.
Generative AI
Generative AI, also known as "GenAI", is a specific type of machine learning. While traditional machine learning might classify an email as spam or predict tomorrow's weather, generative AI goes a step further - it generates something new. It can draft emails, summarize documents, brainstorm ideas, generate original images, produce video clips, compose music, transcribe recordings, and even build websites.
"The hottest new programming language is English."
— Andrej Karpathy, AI researcher and founding member of OpenAI
What makes GenAI especially powerful is how we interact with it. Instead of writing complex code, we simply describe what we want in plain language and the AI generates an output. That request is called a prompt, and the quality of the output depends heavily on the quality of the input. A vague prompt produces a vague result. A clear, specific prompt produces something genuinely useful. The next page covers prompting in greater detail.
GenAI Tools to Try
There are several GenAI tools available today, many with free tiers. Here are some of the major ones. Each has its own strengths and trade-offs, and the landscape is evolving quickly.
This is not an endorsement of any particular tool. Do independent research, or engage a professional, to determine which is the best fit for a given situation. But the key is to get started. There will never be a "perfect time" and there will always be something new on the horizon. One of the best ways to learn is often by doing.