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.

Chaser324

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

iboard

# How I managed to install #ruby-2.0 with #rvm on #MacOS 10.8

export CC=/usr/bin/gcc
rvm pkg install openssl
rvm install ruby-head --with-gcc=clang --verify-downloads 1  # see *
rvm use ruby-head
ruby -v
ruby 2.0.0dev (2013-02-24) [x86_64-darwin12.2.0]

bdunagan

#!/usr/bin/env ruby

# s3-delete-bucket.rb
# Fog-based script for deleting large Amazon AWS S3 buckets (~100 files/second)
# Forked from this excellent script: https://github.com/SFEley/s3nuke

require 'rubygems'
require 'thread'
require 'fog'

lucasfais

Sublime Text 2 – Useful Shortcuts (Mac OS X)

General

⌘T	go to file
⌘⌃P	go to project
⌘R	go to methods
⌃G	go to line
⌘KB	toggle side bar
⌘⇧P	command prompt

jtimberman

# Use Chef resources in an application via solo mode.
# Could also be configured in client mode, and then use a server.

require 'rubygems'
require 'chef'
require 'chef/client'
require 'chef/run_context'

Chef::Config[:solo] = true
Chef::Config[:log_level] = :info

jtimberman

require 'chef'
require 'chef/node'

class Opscode
  class Backup
    attr_accessor :backup_dir

    def initialize(backup_dir, config_file)
      @backup_dir = backup_dir
      Chef::Config.from_file(config_file)