How AI Actually Learned to Speak: LLMs Explained | Day 7

When an AI talks to you, it doesn’t actually "know" what it’s saying. It’s just playing the ultimate game of probability. Welcome to Day 7 of our 100-Day Computer Science Masterclass at Artificial University. Today, we are tearing down the illusion behind the most famous AI models in the world: Large Language Models (LLMs).

How does a machine write poetry, debug code, or pass the bar exam? It all comes down to breaking language into math. In this lecture, we visualize the incredible engine behind ChatGPT and Claude. We explain what a "token" actually is, how the revolutionary "Transformer" architecture changed the world in 2017, and how an AI predicts the next word in a sentence using billions of mathematical weights.

What you will learn in this lecture:

What are "Tokens" and why AI doesn't read letters like humans do.

The "Attention Is All You Need" paper and the Transformer breakthrough.

How LLMs calculate the probability of the next word.

Why these models "hallucinate" and confidently lie to you.

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Next Video (Day 8): Generative Adversarial Networks (GANs): The AI Forger
Previous Video (Day 6): How Machines Actually "See" the World: Computer Vision

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