What Is a Large Language Model and How Does It Work?
How large language models work in plain English, from tokens and training to next-word prediction, with a simple diagram and no math.
Everything we have written about ai basics.
How large language models work in plain English, from tokens and training to next-word prediction, with a simple diagram and no math.
A plain-English explanation of artificial intelligence, with everyday business examples and an honest look at what AI can and cannot do today.
A plain-English guide to computer vision: how machines classify and detect objects in images, and where the technology already works in retail, factories and healthcare.
A plain-English guide to reinforcement learning: agents, environments, rewards and policies, with game, robotics and chatbot examples and where it fits in business.
A side-by-side comparison of machine learning and deep learning on data needs, cost, explainability and use cases, so you can tell which one your project actually needs.
Multimodal AI understands text, images, audio and video together. Here is how it works and how businesses use it to read invoices, photos and calls in one workflow.
A step-by-step, math-free explanation of neural networks, using an everyday analogy to show how layers, weights and training fit together.
What AGI really means, how it differs from the narrow AI you use today, why experts disagree on definitions and timelines, and what it means for your business right now.
A visual, plain-English explanation of how AI turns text into vectors, why "close" vectors mean similar meaning and how embeddings power semantic search and chatbots.
Natural language processing explained through tools you already use, from spam filters and autocorrect to voice assistants and chatbots, plus practical business uses.
What AI tokens and context windows are, how they affect your bill, why chatbots "forget" and how to get better answers by managing what goes into the model.
A plain-English guide to generative AI: how it works, what it can do with text, images, code and audio, and the realistic limits of each.