jasonmorganson

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

jasonmorganson

import test from 'tape';

// For each unit test you write,
// answer these questions:
test('What component aspect are you testing?', assert => {
  const actual = 'What is the actual output?';
  const expected = 'What is the expected output?';

  assert.equal(actual, expected,
    'What should the feature do?');

jasonmorganson

let completionengines = ['google', 'wikipedia', 'imdb', 'amazon', 'wolframalpha', 'duckduckgo']
imap <C-o> editWithVim
map <C-o> :duplicate<CR>
map af createTabbedHint
map xx x
map $ g$
map 0 g0
map qq closeTab
map gs fullImageHint
map <Space> l

jasonmorganson

// Cross-browser object.watch and object.unwatch

// object.watch
if (!Object.prototype.watch) {
	Object.prototype.watch = function (prop, handler) {
		var oldval = this[prop], newval = oldval,
		getter = function () {
			return newval;
		},
		setter = function (val) {