3blue1brown

0:22:43

How might LLMs store facts | Chapter 7, Deep Learning

0:27:14

How large language models work, a visual intro to transformers | Chapter 5, Deep Learning

0:03:22

Grant Sanderson (3Blue1Brown): Best Way to Learn Math | AI Podcast Clips

0:05:13

The most unexpected answer to a counting puzzle

0:18:40

But what is a neural network? | Chapter 1, Deep learning

0:12:52

Why slicing a cone gives an ellipse (beautiful proof)

0:15:30

What 'Follow Your Dreams' Misses | Harvey Mudd Commencement Speech 2024

0:00:44

3Blue1Brown angrily lashes out at you for being bad at math (POV)

0:26:10

Attention in transformers, visually explained | Chapter 6, Deep Learning

0:16:13

This pattern breaks, but for a good reason | Moser's circle problem

0:17:26

Researchers thought this was a bug (Borwein integrals)

0:20:57

But what is the Fourier Transform? A visual introduction.

0:17:05

The essence of calculus

0:15:11

Bayes theorem, the geometry of changing beliefs

0:21:58

Group theory, abstraction, and the 196,883-dimensional monster

0:15:16

Why do colliding blocks compute pi?

0:27:16

Differential equations, a tourist's guide | DE1

0:18:18

Hilbert's Curve: Is infinite math useful?

0:15:42

Divergence and curl: The language of Maxwell's equations, fluid flow, and more

0:10:43

Bertrand's Paradox (with 3blue1brown) - Numberphile

0:18:42

The impossible chessboard puzzle

0:09:52

Vectors | Chapter 1, Essence of linear algebra

0:05:32

Math Meme Review with Grant Sanderson (3Blue1Brown)

0:11:15

The hardest problem on the hardest test