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Oct 31 (edited) • 🎓Classroom
🎓Classroom Feature Highlight: Smash Ups
In every Classroom term-centric course, a Smash-Up is provided for every five terms.
A Smash Up is a recap lesson where we connect several 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 lesson is all about the building blocks of AI — what it is, the models behind it, and how we start talking to it. For this example, we smash up Terms 1–5. Here’s how they connect!
🟦 AI
Artificial Intelligence is the umbrella — teaching computers to act smart.🔧 In practice: Think of AI as the “smart helper” built into your tech.
đźź© Large Language Model (LLM)
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
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
The chatbot application built on top of GPT.
🔧 In practice: ChatGPT is the car you drive, powered by the GPT engine.
🟥 Prompt
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.
To see this in action, simply click on Classroom in the top menu.
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🎓Classroom Feature Highlight: Smash Ups
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