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.

Welcome to the Out of the Box series — where I explore what can be built with no-code and low-code AI tools in 30, 60 or 90 minutes. No manuals. No tutorials. Just curiosity and creation in motion. 🧩 App: Sora 2 by OpenAI 🕒 Time: Under 90 Minutes 📂 Category: AI Video Reimagining of a boyhood dream 🎥 What Is Sora 2? An AI video generation platform that transforms a simple text prompt into lifelike, cinematic scenes — complete with movement, lighting, and personality. It’s like having a film crew, actor, and editor… all powered by one prompt and the inspiration of visually capturing a dream. ⚙️ What I Did Out of the Box I continued to experiment with Sora 2 by moving beyond still pictures as in Out of the Box in 60. This is what happens when you can finally capture a childhood dream that follows you your entire life… Meet Wilder Wilder is my first artistic attempt to bring to life the wolf who has visited my dreams since I was six years old. Every two years, like clockwork, a wolf would appear in my dreams. Always six feet behind me. Always with piercing blue eyes. Always present… but never attacking. Scene 1: Wilder experiences the wolf for the first time. Click to view the scene: https://sora.chatgpt.com/p/s_6928cb4492a88191a3781b3b9724c23b 🎬How it was created: I built Wilder and the wolf by testing and refining several Sora 2 prompts, creating a character, and shaping the wolf and the scene until it started to resemble my recurring dream.

Term: GPT (Generative Pre-trained Transformer) Level: Beginner Category: Core Concept 🪄 Simple Definition:GPT is the type of AI model that powers tools like ChatGPT — it generates text by predicting what comes next in a sentence. 🌟 Expanded Definition:GPT stands for Generative Pre-trained Transformer. - Generative → it can create text. - Pre-trained → it was trained on a massive collection of text before you ever use it. - Transformer → a special AI design that makes it great at understanding context and word relationships. Together, these features allow GPT to answer questions, write essays, summarize documents, and more. ⚡ In Action:When you type “Once upon a…” GPT continues with “time” because it has seen that phrase many times and knows it’s the most likely next step. 💡 Pro Tip:Think of GPT as the engine and ChatGPT as the car. Understanding GPT helps you see what’s under the hood.

Term: Large Language Model (LLM) Level: Beginner Category: Core Concept 🪄 Simple Definition: A Large Language Model (LLM) is an AI that has been trained to understand and generate human-like text. 🌟 Expanded Definition: An LLM is a type of AI built by training on massive amounts of text data (books, articles, websites). It learns patterns in language — how words and ideas connect — so it can answer questions, explain concepts, or even write stories. It doesn’t “think” like a human, but it can imitate conversation and knowledge in useful ways. ⚡ In Action: When you ask ChatGPT a question, the LLM inside it predicts the most likely next words to form a meaningful answer. 💡 Pro Tip: Don’t get stuck on the word “large.” It simply means the model was trained on a lot of data and has many parameters. More data and parameters usually mean smarter, more flexible answers.

Term: AI (Artificial Intelligence) Level: Beginner Category: Core Concept 🪄 Simple Definition: AI means teaching computers to act in ways that seem smart — like learning, reasoning, or making decisions. 🌟 Expanded Definition: Artificial Intelligence is the broad field of building machines and software that can perform tasks usually requiring human thinking. That includes recognizing speech, understanding language, spotting patterns, and even creating new ideas. It’s less about robots taking over, and more about tools that help people work faster and smarter. ⚡ In Action: When Netflix recommends your next show, or when your phone autocorrects a word — that’s AI at work behind the scenes. 💡 Pro Tip: Don’t overcomplicate it. Think of AI as “a smart helper built into your technology.” Once you see it that way, you’ll start spotting AI everywhere.