veekaybee

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

PhilipRosedale

import pygame
import sys
from pygame.locals import *
from sys import exit
from random import *
import ovr

import math

ovr.initialize(None)

akisute

#!/usr/bin/env ruby
#
# PostprocessBuildPlayer
#   Tested on Ruby 1.8.7, Gem 1.3.6, and xcodeproj 0.3.0
#   Created by akisute (http://akisute.com)
#   Licensed under The MIT License: http://opensource.org/licenses/mit-license.php
#
require 'rubygems'
require 'xcodeproj'
require 'pathname'

gre

/*
 * This work is free. You can redistribute it and/or modify it under the
 * terms of the Do What The Fuck You Want To Public License, Version 2,
 * as published by Sam Hocevar. See the COPYING file for more details.
 */
/*
 * Easing Functions - inspired from http://gizma.com/easing/
 * only considering the t value for the range [0, 1] => [0, 1]
 */
EasingFunctions = {