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

schacon

#!/bin/bash

# Colors
RED='\033[0;31m'
GREEN='\033[0;32m'
NO_COLOR='\033[0m'
BLUE='\033[0;34m'
YELLOW='\033[0;33m'
NO_COLOR='\033[0m'

0atman

{
  config,
  pkgs,
  options,
  ...
}: let
  hostname = "oatman-pc"; # to alllow per-machine config
in {
  networking.hostName = hostname;

matthen

"""Hello world, with a genetic algorithm.

https://twitter.com/matthen2/status/1769368467067621791
"""

import random
import time
from dataclasses import dataclass
from itertools import chain
from typing import Iterable, List

isabelroses

let
  budgetIsDefined = value: (builtins.tryEval value).success;
in

import <nixpkgs/nixos> {
  configuration =
    { config, lib, ... }:
    {
      imports = [
        {