rklemme

#!/usr/bin/env ruby19

require 'optparse'

# Report erros that are caused by invoking a method when
# an instance is not in the proper state to do so.
class StateError < Exception
end

# Instances of class Tee can send output to several destinations

jdhollis

module Resque
  module AsyncHandling
    # To disable (in config.after_initialize):
    # Resque::AsyncHandling.enabled = false
    mattr_accessor :enabled
    self.enabled = true
    
    def handle_asynchronously(original_method, params = { })
      if enabled
        now_method = "#{ original_method }_now"

nazarhussain

In some cases you need to set the default_url of paper clip base on some condition. e.g. You want to set default image on basis of gender of user. For this purpose this gist can make it possible to use a method as default_url. Just copy paper_clip_default_url_fix.rb to initializers folder, and use default_url as mentioned in model.rb

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.