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

dmerrick

#!/usr/bin/env ruby

require 'rubygems'
require 'json'
require 'open-uri'
require 'slack-notifier'

# use the turtle subreddit
turtles = "http://www.reddit.com/r/turtle.json"
json = JSON.load(open(turtles))

diogomonica

require 'rubygems'
require 'mechanize'

FIRST_NAME = 'FIRST_NAME'
LAST_NAME = 'LAST_NAME'
PHONE = 'PHONE'
EMAIL = '[email protected]'

PARTY_SIZE = 2
SCHEDULE_RANGE = { :start_time => '19:00', :end_time => '20:30' }

pjkix

#!/bin/bash

## v1.0.6
## this script will gernerate css stats

### example output

# CSS STATS
# ----------
# Floats:  132