Short, reviewed pieces on practical AI topics. Every factual claim is registered against a primary source, the same honest-claims and source policy the course lessons follow — these are not marketing copy or unreviewed drafts.
A practical data-confidentiality guide for anyone about to paste a document, email or dataset into a general AI chat tool — what actually counts as sensitive, what happens to it next, and where the UK's data protection guidance sits.
A five-minute, practical way to narrow down your first local AI model — and where to go for the deeper, hands-on version in the Local AI Agents course.
A standalone explainer of what "quantisation" means for a downloadable AI model file, what it actually costs, and how to read a name like Q4_K_M before you download it.