// curated_library
Seminal papers, key talks, and essential videos from the people shaping AI — filtered for signal, not noise.
type:
all
papers
videos
blog posts
talks
author:
all
Andrej Karpathy
Bai et al. (Anthropic)
Dario Amodei
Geoffrey Hinton
Goodfellow, Bengio, Courville
Kaplan et al. (OpenAI)
Sam Altman
Vaswani et al. (Google Brain)
video
Intro to Large Language Models (lecture)
One of the clearest technical explanations of LLMs ever recorded. Karpathy walks from tokenisation through attention to RLHF. Mandatory viewing for anyone working in this space.
LLMs
transformers
attention
RLHF
tutorial
Open ↗
video
Let's Build GPT from Scratch
Karpathy builds a GPT implementation in ~2 hours of live coding. The single best way to understand what a transformer actually is. Code is clear, explanations are exceptional.
GPT
transformer
PyTorch
tutorial
from scratch
Open ↗
video
The Spelled-Out Intro to Neural Networks & Backprop
Micrograd: building autograd from scratch with pure Python. The deepest, most rigorous treatment of backpropagation I've seen in video format. Essential before you touch PyTorch.
backpropagation
autograd
neural networks
tutorial
Open ↗