Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
#!/usr/bin/env node | |
var vm = require('vm'); | |
var repl = require('repl'); | |
var CoffeeScript = require('coffee-script'); | |
repl.start({ | |
prompt: "coffee> ", | |
eval: function(code, context, file, cb) { | |
try { |
I hereby claim:
To claim this, I am signing this object:
defmodule Chat.Client do | |
# In all of the following functions 'server' stands for the server's pid | |
def join(server) do | |
send server, :join | |
end | |
def say(server, message) do | |
send server, { :say, message } | |
end |
source :rubygems | |
# We are not loading Active Record, nor Active Resources etc. | |
# We can do this in any app by simply replacing the rails gem | |
# by the parts we want to use. | |
gem "actionpack", "~> 3.2" | |
gem "railties", "~> 3.2" | |
gem "tzinfo" | |
# Let's use thin |