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.
// 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) { |
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 |
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?'); |