A published Selection
How these models actually work
10 videos, 5 h 13
10 videos on what a neural network is, how it learns, and how a language model turns text into more text. Maths shown, hype left out.
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- 01
Large Language Models explained briefly
3Blue1Brown
The shortest honest account of what a language model is doing. Start here.
- 02
But what is a neural network? | Deep learning chapter 1
3Blue1Brown
What a neural network is, built up from a single digit-recognising example.
- 03
Gradient descent, how neural networks learn | Deep Learning Chapter 2
3Blue1Brown
How a network improves itself, and what the word learning really means here.
- 04
Backpropagation, intuitively | Deep Learning Chapter 3
3Blue1Brown
Backpropagation with the intuition first and the calculus second.
- 05
Transformers, the tech behind LLMs | Deep Learning Chapter 5
3Blue1Brown
Attention and the transformer, the piece behind every current language model.
- 06
How might LLMs store facts | Deep Learning Chapter 7
3Blue1Brown
Where a model might keep a fact, and why nobody can point at it exactly.
- 07
Gradient Descent, Step-by-Step
StatQuest with Josh Starmer
Gradient descent worked through with real numbers if the animation went fast.
- 08
How Deep Neural Networks Work
Brandon Rohrer
A slower, plainer account of deep networks with no notation to fight.
- 09
The Threat of AI Weapons
Veritasium
Autonomous weapons, and the parts of this debate that are already decided.
- 10
Full AI Prompting Course with Andrew Ng
DeepLearningAI
Practical prompting from someone who teaches the underlying machine learning.
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