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Andrej Karpathy

Andrej Karpathy

Technology and AI 1,720,000 subscribers 17 episodes

About this channel

Andrej Karpathy's channel approaches language models from both the user's desk and the code that makes them work. Introductions to large language models appear beside detailed construction exercises…

Latest episode

How I use LLMs
Published: 27.2.2025 Open episode page

The example-driven, practical walkthrough of Large Language Models and their growing list of related features, as a new entry to my general audience series on LLMs. In this more practical followup, I…

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Stable diffusion dreams of tattoos
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Stable diffusion dreams of tattoos 16.8.2022

More episodes from this channel

Deep Dive into LLMs like ChatGPT

5.2.2025

This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed,...

Let's reproduce GPT-2 (124M)

9.6.2024

We reproduce the GPT-2 (124M) from scratch. This video covers the whole process: First we build the GPT-2 network, then we optimize its training to be really fast, then we set up the training...

Let's build the GPT Tokenizer

20.2.2024

The Tokenizer is a necessary and pervasive component of Large Language Models (LLMs), where it translates between strings and tokens (text chunks). Tokenizers are a completely separate stage of the LLM pipeline: they have...

[1hr Talk] Intro to Large Language Models

23.11.2023

This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day...

Let's build GPT: from scratch, in code, spelled out.

17.1.2023

We build a Generatively Pretrained Transformer (GPT), following the paper "Attention is All You Need" and OpenAI's GPT-2 / GPT-3. We talk about connections to ChatGPT, which has taken the world by storm. We...

Building makemore Part 5: Building a WaveNet

21.11.2022

We take the 2-layer MLP from previous video and make it deeper with a tree-like structure, arriving at a convolutional neural network architecture similar to the WaveNet (2016) from DeepMind. In the WaveNet paper,...

Building makemore Part 4: Becoming a Backprop Ninja

11.10.2022

We take the 2-layer MLP (with BatchNorm) from the previous video and backpropagate through it manually without using PyTorch autograd's loss.backward(): through the cross entropy loss, 2nd linear layer, tanh, batchnorm, 1st linear layer,...

Building makemore Part 2: MLP

12.9.2022

We implement a multilayer perceptron (MLP) character-level language model. In this video we also introduce many basics of machine learning (e.g. model training, learning rate tuning, hyperparameters, evaluation, train/dev/test splits, under/overfitting, etc.). Links: -...

Stable diffusion dreams of steampunk brains

17.8.2022

Prompt: "ultrarealistic steam punk neural network machine in the shape of a brain, placed on a pedestal, covered with neurons made of gears. dramatic lighting. #unrealengine" Stable diffusion takes a noise vector as input...

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