Plain-language AI education, updated regularly and free to read
The learning library covers the core concepts behind modern AI systems—from how models are trained to how they're regulated. Each entry addresses a specific question about how AI systems function.
Topics
How large language models work
How training, tokens, and prediction combine to produce fluent — and sometimes wrong — answers.
Prompting vs fine-tuning
Two different ways to steer a model's behaviour, and when each one is worth the effort.
Deployment and data control
The trade-offs between sending data to a hosted provider and running a model yourself.
Training data and compute
Where the cost of training and running AI models actually comes from.
AI regulation outlook
How the EU, UK, and US are approaching AI rules, and what to watch next.
No investment advice or product promotion
Every article explains how something works without recommending you buy or use it. AI School does not endorse specific products or vendors.
About the library
How often is the library updated?
The library expands as new questions arise and AI infrastructure evolves. Suggestions for new topics are welcome via the contact page.
Does this give investment or trading advice?
No. AI School explains how AI systems work but does not recommend specific investments, products, or vendors.