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@karpathy
karpathy / llm-wiki.md
Created April 4, 2026 16:25
llm-wiki

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@karpathy
karpathy / microgpt.py
Last active April 13, 2026 07:54
microgpt
"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.
@karpathy
"""
import os # os.path.exists
import math # math.log, math.exp
@karpathy
karpathy / add_to_zshrc.sh
Created August 25, 2024 20:43
Git Commit Message AI
# -----------------------------------------------------------------------------
# AI-powered Git Commit Function
# Copy paste this gist into your ~/.bashrc or ~/.zshrc to gain the `gcm` command. It:
# 1) gets the current staged changed diff
# 2) sends them to an LLM to write the git commit message
# 3) allows you to easily accept, edit, regenerate, cancel
# But - just read and edit the code however you like
# the `llm` CLI util is awesome, can get it here: https://llm.datasette.io/en/stable/
gcm() {
@akeaswaran
akeaswaran / espn-api-docs.md
Last active April 6, 2026 01:37
ESPN hidden API Docs
@belst
belst / rocketguide.md
Last active March 29, 2025 20:35
Deploy Rocket in production

Deploy Rocket using Letsencrypt and nginx

Information

This guide uses the domain your-domain.tld and its www. prefixed version. It starts the rocket application on 127.0.0.1:1337 and as the user www-data. The proxy listens on port 80 and 443 though.
If you need other values, update them accordingly in your nginx and systemd configs.

Prerequisites

You need to have nginx, certbot and rust installed.

@bendc
bendc / easing.css
Created September 23, 2016 04:12
Easing CSS variables
:root {
--ease-in-quad: cubic-bezier(.55, .085, .68, .53);
--ease-in-cubic: cubic-bezier(.550, .055, .675, .19);
--ease-in-quart: cubic-bezier(.895, .03, .685, .22);
--ease-in-quint: cubic-bezier(.755, .05, .855, .06);
--ease-in-expo: cubic-bezier(.95, .05, .795, .035);
--ease-in-circ: cubic-bezier(.6, .04, .98, .335);
--ease-out-quad: cubic-bezier(.25, .46, .45, .94);
--ease-out-cubic: cubic-bezier(.215, .61, .355, 1);
@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym
# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward
@paulirish
paulirish / what-forces-layout.md
Last active April 8, 2026 08:14
What forces layout/reflow. The comprehensive list.

What forces layout / reflow

All of the below properties or methods, when requested/called in JavaScript, will trigger the browser to synchronously calculate the style and layout*. This is also called reflow or layout thrashing, and is common performance bottleneck.

Generally, all APIs that synchronously provide layout metrics will trigger forced reflow / layout. Read on for additional cases and details.

Element APIs

Getting box metrics
  • elem.offsetLeft, elem.offsetTop, elem.offsetWidth, elem.offsetHeight, elem.offsetParent
@karpathy
karpathy / min-char-rnn.py
Last active April 9, 2026 03:12
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
@karpathy
karpathy / gist:587454dc0146a6ae21fc
Last active April 7, 2026 23:42
An efficient, batched LSTM.
"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code
class LSTM:
@staticmethod
def init(input_size, hidden_size, fancy_forget_bias_init = 3):