A Weekly Smash Up is a recap lesson where we connect the last five AI Terms into one big idea — showing how they work together in practice. Think of it as a highlight reel for your AI learning. This week is all about the building blocks of AI — what it is, the models behind it, and how we start talking to it. For this, we smash up Terms 1–5 of the AI Terms Beginner Classroom course. Here’s how they connect! 🟦 AI (Term 1) Artificial Intelligence is the umbrella — teaching computers to act smart.🔧 In practice: Think of AI as the “smart helper” built into your tech. 🟩 Large Language Model (LLM) (Term 2) A type of AI trained on massive amounts of text to understand and generate language.🔧 In practice: The LLM is the engine that powers the smart helper. 🟨 GPT (Term 3) Generative Pre-trained Transformer — the specific type of LLM powering ChatGPT.🔧 In practice: GPT is the engine design — specialized for predicting and generating words. 🟧 ChatGPT (Term 4) The chatbot application built on top of GPT.🔧 In practice: ChatGPT is the car you drive, powered by the GPT engine. 🟥 Prompt (Term 5) The instruction you give to ChatGPT to get an answer.🔧 In practice: Your prompt is the steering wheel — guiding where the car goes. 🔄 The Flow in Action AI → the big field LLM → the type of model GPT → the specific engine ChatGPT → the tool you use Prompt → the way you drive it That’s the foundation of AI in plain English — the what, the how, the tool, and the way you interact with it.