// curated_library
Seminal papers, key talks, and essential videos from the people shaping AI — filtered for signal, not noise.
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.
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.
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.
Software 2.0
Karpathy's prescient argument that neural networks are not just a tool but a new programming paradigm — one where the programmer specifies desired behaviour, not explicit logic. Reads even better today.