AI & Machine Learning
Summaries of long technical lectures and deep dives on large language models, transformers and neural networks, with timestamps to every key section.
In this topic
26 summaries
Stanford CS230 | Autumn 2025 | Lecture 8: Agents, Prompts, and RAG
Stanford Online
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
freeCodeCamp.org
Prompt Engineering Tutorial – Master ChatGPT and LLM Responses
freeCodeCamp.org
PyTorch for Deep Learning & Machine Learning – Full Course
freeCodeCamp.org
Lecture 01 - The Learning Problem
caltech
Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!
StatQuest with Josh Starmer
Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
Stanford Online
Create a Large Language Model from Scratch with Python – Tutorial
freeCodeCamp.org
Deep Learning Basics: Introduction and Overview
Lex Fridman
What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata
The Royal Institution
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
Stanford Online
Gradient descent, how neural networks learn | Deep Learning Chapter 2
3Blue1Brown
Stanford CS229: Machine Learning Lecture 1 - Andrew Ng (Autumn 2018)
Stanford Online
Attention in transformers, step-by-step | Deep Learning Chapter 6
3Blue1Brown
AlphaFold - The Most Useful Thing AI Has Ever Done
Veritasium
Transformers, the tech behind LLMs | Deep Learning Chapter 5
3Blue1Brown
AlphaGo - The Movie | Full award-winning documentary
Google DeepMind
Harvard CS50’s Artificial Intelligence with Python – Full University Course
freeCodeCamp.org
Machine Learning for Everybody – Full Course
freeCodeCamp.org
Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka
edureka!
Let's reproduce GPT-2 (124M)
Andrej Karpathy
Let's build the GPT Tokenizer
Andrej Karpathy
How I use LLMs
Andrej Karpathy
The spelled-out intro to neural networks and backpropagation: building micrograd
Andrej Karpathy
Deep Dive into LLMs like ChatGPT
Andrej Karpathy
Let's build GPT: from scratch, in code, spelled out.
Andrej Karpathy