What is RLHF? The training trick that made ChatGPT useful RLHF is the three-stage recipe — supervised fine-tuning, reward modelling, RL — that turned big base models into chatbots people actually use. Here's how it works and what it doesn't fix.
RAG vs fine-tuning vs prompting: which do you actually need? Three techniques get pitched as competitors. They aren't. They solve different problems. Here's the decision frame for choosing one or combining all three.
What is the EU AI Act? A plain-English guide to the world's first comprehensive AI law Regulation (EU) 2024/1689 is the EU's AI Act. Here's what it bans, what it requires, what it costs to violate, and when each provision applies.
What is RAG? A plain-English explainer for people who use AI but never built one RAG, or retrieval-augmented generation, is the technique behind 'AI that can read your documents.' Here's what it actually does, what it does not fix, and when you actually need it.
What is symbolic AI? The original recipe — and where it still wins Symbolic AI was the original AI — rules, search, logic, expert systems. It lost the photogenic half of the field after 2012 but still wins where transparency, hard constraints, and audit trails matter. With a paired expert-system lab.
What is artificial intelligence? A complete intuitive guide A complete intuitive guide to what artificial intelligence actually is — the nested AI/ML/DL/LLM hierarchy, the one idea that drives modern AI, narrow vs general vs super, five myths the news still gets wrong, and a 60-second tour from 1956 to 2026. With an interactive lab.