What is machine learning? A beginner's guide with everyday examples
Machine learning explained from zero: how computers learn patterns from examples, the three main types of learning, and where you already use it every day.
AI Desk3 min read
20 AI terms everyone should know, explained in one line each
From tokens and parameters to RAG, fine-tuning and hallucinations: a quick, plain-English glossary of the AI words you will meet in every news story.
AI Desk3 min read
Seven common myths about AI, debunked
No, AI doesn't look things up in a database, and no, bigger is not always better. Seven widespread misconceptions about today's AI, and what is actually true.
AI Desk3 min read
How to read an AI research paper (and spot the hype)
A practical method for reading machine learning papers: what to read first, how to judge experiments and benchmarks, and the red flags that signal overclaiming.
AI Desk4 min read
APIs & SDKsGuide
Your first LLM API call: a step-by-step guide in Python
Set up an API key safely, send your first request to a language model in Python, understand messages, tokens and parameters, and handle errors and costs.
AI Desk3 min read
How to keep up with AI news without drowning
A sustainable system for following AI: choosing a few trusted sources, filtering hype, reading primary sources and building a weekly routine that fits your goals.
AI Desk3 min read
10 everyday tasks AI does well — and 5 it still gets wrong
A practical list of everyday tasks where AI assistants genuinely save time, from drafting to explaining, and five common tasks where they still fail and need checking.
AI Desk3 min read