karpathy

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.

nahushrk

#!/usr/bin/env python3
"""
Ollama Model Manager

This script provides two modes of operation:
  - export: Exports an installed Ollama model to a tarball.
  - import: Imports an Ollama model from a tarball.

The export mode reads a manifest file located at:
  <base_path>/manifests/registry.ollama.ai/library/<model_name>/<model_size>

fofr

name	govuk-style
description	Write and edit in GOV.UK / GDS house style — plain English, active voice, front-loaded content, sentence case, and no bold or italics for emphasis. Use when writing or editing reports, research write-ups, guidance, documentation, summaries, or any prose where clarity and accessibility matter.
user-invokable	true
args	name description required target The document or text to write or rewrite in GOV.UK style (optional) false

tuxfight3r

Bash Shortcuts

Moving

command	description
ctrl + a	Goto BEGINNING of command line

JohnyDeath

Установка Outline VPN на Ubuntu 20.04

Outline VPN - это бесплатный инструмент с открытым исходным кодом, позволяющий развернуть собственную VPN на Вашем собственном сервере или на машине облачного провайдера. Подробную информацию Вы можете узнать здесь и здесь.

В своем составе имеет как графические инструменты, так и средства работы через командную строку. Позволяет использовать VPN как на настольных компьютерах, так и на мобильных устройствах.

Прежде чем начать

Вам нужен сервер. Да, его нужно арендовать, учитывая его местоположение. Например, если Вам нужно получать доступ к ресурсам, которые недоступны в текущем местоположении, но доступны, например, в Канаде, то смело арендуйте виртуальную машину в AWS, Digital Ocean или любом другом месте.

Aero-Ex

Kimodo Local Installation Guide (with Custom Text Encoder)

This guide walks through setting up Kimodo from scratch, downloading a custom text encoder (KIMODO-Meta3_llm2vec_NF4), and forcing the application to use your local offline model instead of making API calls to Hugging Face.

1. Environment Setup

First, create a fresh Python virtual environment to keep dependencies clean, and activate it.

python -m venv venv
source venv/bin/activate

copyleftdev

🔧 The Ultimate JQ Cheat Sheet

jq — lightweight, flexible command-line JSON processor

📋 Table of Contents

• Basics
• Navigation
• Arrays
• Objects
• Filtering & Selection

GerHobbelt

A list of GitHub emoji markup, adapted from rxavier's Complete list of github markdown emoji markup, generated with a Grunt script for maintainability (see repository).

Additional original source material: http://unicode.org/emoji/charts/full-emoji-list.html

This table is available as a gist at https://gist.github.com/GerHobbelt/b9b87a2257ddd5251a45628d61385717 and as part of the build repo at https://github.com/GerHobbelt/emoji-list/blob/master/dist/emoji-list.md

Table of Contents

• Smileys and People

Mizux

#!/usr/bin/env python3
"""Vehicles Routing Problem (VRP)."""

from functools import partial
from ortools.constraint_solver import routing_enums_pb2
from ortools.constraint_solver import pywrapcp

# Vehicle 1: slow (speed: 20)
# Vehicle 2: slow (speed: 20)
# Vehicle 3: average (speed: 18)