What Is Artificial Intelligence? Foundations, Concepts & Glossary

If you only have time for one hub before everything else, start here. The pages below explain artificial intelligence from first principles — without dumbing it down and without drowning you in maths. By the end you will understand the difference between AI, machine learning, and deep learning, why generative AI suddenly worked, what AGI is and is not, and the ethical questions that every honest practitioner has to think about.

Inside you will find our pillar guide on what AI actually is, a deep dive on how machine learning and deep learning work, a constantly updated AI glossary of two hundred-plus terms (RLHF, transformers, embeddings, tokens, fine-tuning, RAG, hallucination, and the rest), and a serious treatment of AI ethics, bias, and best practices. We also cover the history of AI and the major debates that shape the field today.

This is the foundation everything else on the site is built on. Use the articles below as your reference whenever a new concept comes up.