Language shapes understanding. To master artificial intelligence, one must first fluently speak its language. This body of knowledge serves as a reference dictionary and ontology. We dissect, with precision, the fundamental concepts and technical jargon: from the principles of NLP (Natural Language Processing) to the mechanisms of RAG (Retrieval-Augmented Generation), passing through tokenisation, context windows, and inference optimisation. The essential tool for demystifying algorithmic complexity.