AI Explained
How Do Large Language Models Work?
A large language model writes by predicting the next chunk of text from patterns learned in training, not by looking facts up.
AI Explained
How generative AI and large language models actually work, what they are good at, where they go wrong (hallucination, bias), and how to choose and use everyday AI tools well.
AI Explained
AI Explained
Why AI Chatbots Make Things Up
Chatbots invent facts because they produce text that fits the shape of an answer without checking it against reality.
AI Explained
Where AI Bias Comes From
AI bias is a systematic lean in outputs that comes from training data and design choices; users can spot and reduce it but not erase it.
AI Explained
Writing AI Prompts for Office Work
Good prompts give AI the purpose, audience, source facts, format and an example, just like briefing a new colleague.
AI Explained
What Not to Paste Into AI Chatbots
Never paste personal data, credentials, unreleased figures or confidential contracts into public chatbots; anonymise first and use approved tools.
AI Explained
How to Choose an AI Assistant
Choose the AI assistant that handles your most frequent tasks well, in your language, under acceptable data terms; test on real work before paying.
AI Explained
What Gen AI Can and Can’t Do at Work
Generative AI drafts, summarises and rewrites fast but is unreliable for facts and must not decide on money, law, health or people alone.
AI Explained
How AI Image, Voice and Video Tools Work
Image, voice and video generators build media by learning patterns from huge datasets; useful for drafts and narration, but they bring accuracy, consent and rig
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