← All articlesDossier · 6 articles
The words of AI, finally clear
LLM, token, context, hallucinations... The six concepts you hear everywhere, explained once and for all. The ideal starting point.
01ExplainersWhat is an "LLM"? The engine behind ChatGPT, Claude and Gemini, explained simplyLLM, large language model: the term is at the heart of all AI news, yet rarely explained. We break down simply how this technology02VisionWhat is a token? And why it is probably the most important concept for understanding AIIf you read about or use AI in 2026, you come across this word constantly: token. Token limits, price per token, context in tokens03ExplainersHow does an AI "learn"? A model's journey, from raw chaos to the polished assistantHow does a model go from a pile of raw data to an assistant capable of answering you politely? We describe the three main stages o04ExplainersWhat is the "context window"? The working memory that decides what your AI can actually understandThe context window is the amount of information an AI can hold in mind at once. We explain this key concept simply, why it explode05VisionWhy AIs hallucinate (and why they probably never will stop)OpenAI announces a 65% reduction in hallucinations on GPT-5. Anthropic touts Claude's factual accuracy. And yet, all regular users06ExplainersWhat is "prompt engineering"? The art of talking to AIs properly, and why it changes everythingPrompt engineering is the art of phrasing a request to get the best out of an AI. We explain why the same AI can deliver a mediocr