Denis DuvauchelleThe Best-Fit Line as a First Picture of AI Training
See how a best-fit line introduces AI training, pattern learning, predictions, and uncertainty, giving beginners a clear way to think about models.
AI for beginners
10 articles about AI for beginners
Denis Duvauchelle
Denis DuvauchelleLet AI Edit the Words Without Losing the Meaning
Learn how to use AI to improve clarity while preserving meaning, details, conditions, and tone through careful sentence-by-sentence comparison.
Denis DuvauchelleThree Practical Buckets for Thinking About AI
Learn three practical AI categories—processing, creating, and revising—to test specific tasks, spot errors, and judge results with confidence.
Denis DuvauchelleVibe Coding Still Needs a Place to Keep the Code
Learn how GitHub repositories and change history make AI-built projects easier to inspect, compare, and understand before your next experiment.
Denis DuvauchelleWhen AI Makes Things Up: Creativity and Facts Need Different Rules
Learn why AI invention helps creative work but risks factual errors, and how to separate imaginative prompts from claims that need evidence.
Denis DuvauchelleA Thumbnail Prompt Needs an Idea Before It Needs Polish
Learn how to build better thumbnail prompts by finding the core idea, testing visual directions, and choosing text that stays clear, honest, and clickable.
Denis DuvauchelleA Small RAG Experiment: Question, Search, Answer
Learn how a small RAG experiment connects questions, search, and model answers while revealing missed context and preventing confident inventions.
Denis DuvauchelleA Better Prompt Starts With a Better Brief
There is no magic phrase hiding inside this Short. The idea is a perspective shift: treat the request as a brief for someone who needs enough context to help.
Denis DuvauchellePrompt Caching: Notice What Changes Between Requests
This Short looks at a detail that is easy to miss when an AI conversation feels like one continuous workspace: requests can reuse some input, and changes to the
Denis DuvauchelleUnderstand How AI Works Using a Simple Dot
See how a simple dot-and-line model explains AI learning, prediction, and mistakes, so you can understand language models with less jargon.