Start here · Essential guide
What Is Generative AI and How Does It Make New Content
Generative AI creates text, images, audio and code by learning patterns from examples. Learn how it differs from systems that only classify or predict.
AI and People
Generative AI
How systems that write, draw and speak actually work.
Copyright and Creative Work in the Age of Generative AI
An overview of the open debate over training AI on creative work, who may own what these systems produce, and why the answers differ by country and are unsettled.
How AI Image Generators Turn Words into Pictures
A jargon-free walk through text-to-image systems: how words become numbers, how pictures emerge from noise, and why results can be surprising or flawed.
How Large Language Models Learn to Predict Words
A conceptual explanation of next-word prediction: how large language models are trained on text, what they pick up along the way, and what that does not mean.
How to Spot AI-Generated Text and Images
Why visual and stylistic clues to AI-made text and images are unreliable, what hints sometimes help, and why detection tools and human judgment both fall short.
How Training Data Shapes What an AI Can Do
The examples a model learns from set its strengths and blind spots. Learn how coverage, quality, balance and age of data show up in what an AI can and cannot do.
What a Prompt Is and Why Wording Changes the Answer
A prompt is the text a model starts from. See how instructions, context and phrasing steer generated output, and where wording stops being able to help.
What Fine-Tuning Means for an AI Model
Fine-tuning adapts a general AI model to a narrower job by training it further on focused examples. Learn how it works, when it helps and what it cannot fix.
What Tokens Are and Why Language Models Use Them
Language models do not read letters or whole words. They read tokens, small pieces of text. Learn why text is split this way and what it means for users.
Why AI Chatbots Sometimes Make Things Up
Fluent chatbot answers can be false. Learn why language models produce invented facts and sources, and practical ways readers can check claims before relying on them.
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