The architecture that powers ChatGPT, BERT, and every major AI breakthrough of the last 5 years — explained in under 4 minutes.
Before 2017, AI models processed language one word at a time. Slow. Limited. Bottlenecked.
Then "Attention Is All You Need" changed everything.
In this video, you'll discover:
- Why sequential processing was holding AI back
- The elegant math behind the attention mechanism
- How a simple formula (softmax(QK^T/√d) × V) revolutionized machine
learning
- Why GPUs were secretly waiting for this architecture
- How the same design now powers text, images, audio, video, and code
Timestamps:
0:00 - The Bottleneck (Why RNNs Failed)
0:38 - The Core Mechanic (Attention Explained)
1:13 - The Magic Transform (Matrix Multiplication)
1:53 - Not Just Attention (Multi-Head & Architecture)
2:32 - Enabled Scale (Parallelization & Beyond)
This isn't magic. It's matrix multiplication — done brilliantly.
|
Your RSA-2048 encryption isn't as safe a...
🔥PGP in Generative AI and ML in collabor...
Today Quincy Larson interviews Andrea Gr...
Some people just can't wait to move out ...
In this Unit Testing tutorial series, yo...
Download your free Python Cheat Sheet he...