AI Concepts
AI Hallucinations: Why AI Confidently Makes Things Up
AI hallucinations aren't random glitches. New research shows they're a predictable result of how models are trained and scored, and how to catch one.
AI Concepts
AI Concepts
AI vs Machine Learning vs Deep Learning vs Generative AI
AI, machine learning, deep learning, and generative AI aren't rival technologies, they're nested layers. The plain-English map, with real history and examples.
AI Concepts
How Large Language Models Actually Work (Without the Math)
Large language models don't know facts, they predict the next likely word. Here's what's actually happening inside ChatGPT and Claude, no math required.
AI Concepts
RAG vs Fine-Tuning vs Prompting: What Your Problem Needs
Prompting, RAG, and fine-tuning fix three different failures, not one. A concrete, no-hype framework for working out which one your AI problem actually needs.
AI Concepts
Tokens, Context Windows, and Why AI Chatbots Forget
Tokens are the units AI reads and writes in, and a context window caps how many fit at once. Here's why that limit is the real reason chatbots seem to forget.
AI Concepts
What Are AI Agents? A Plain-English Guide to Agentic AI
AI agents plan their own steps and use tools to finish a job, instead of just chatting about it. Here is what agentic AI actually is, and where it still fails.