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.
// Sending a signed transaction to a contract | |
// using the contract's owner's private key | |
// "web3": "^1.0.0-beta.30" | |
// "ethereumjs-tx": "^1.3.3", | |
// createItem function takes (name, price) as args | |
const web3 = new Web3(new Web3.providers.HttpProvider(INFURA_URL)) | |
const myContract = new web3.eth.Contract(MY_ABI, MY_CONRACT_ADDRESS) | |
const ownerAccount = "" | |
const ownerPrivateKey = "" |
subredditByTitle: { | |
food: { | |
id: subreddit_1, | |
title: "food" | |
posts: [post_1, post_2] | |
} | |
culture: { | |
id: subreddit_2, | |
title: "culture" | |
posts: [post_3, post_4] |
subreddits: [{ | |
title: "food" | |
posts: [{ | |
id: "", | |
body: "..", | |
comments: [{ | |
id: ".." | |
body: "..", | |
}] | |
..morePosts |
$meteor create simple | |
$cd simple | |
$meteor |
from math import sqrt | |
#x1 = X1 = midpt1.x | |
#x2 = X2 = midpt2.x | |
def getT(x, x1, x2): | |
x0 = 0.0 # origin | |
out1 = ((2.0 * x0 - x1) + sqrt(((-2.0 * x0 + x1) ** 2.0) - ((4 * (x0 - 2.0 * x1 + x2)) * (x0 - x)))) / (2.0 * (x0 - 2.0 * x1 + x2)) | |
out2 = ((2.0 * x0 - x1) - sqrt(((-2.0 * x0 + x1) ** 2.0) - ((4 * (x0 - 2.0 * x1 + x2)) * (x0 - x)))) / (2.0 * (x0 - 2.0 * x1 + x2)) | |
return (out1, out2) |
$(function() { | |
window.data = [{name: "Amanda", vote: 0}, | |
{name: "Katie", vote: 0}, | |
{name: "Janice", vote: 0}, | |
{name: "Kim", vote: 0}, | |
{name: "Amy", vote: 0}]; | |
window.pubnub = PUBNUB.init({ | |
channel: "survey", | |
publish_key: "pub-c-aa0da548-076b-4c46-bf87-87d2d457368a", |
.bar { | |
font: 10px sans-serif; | |
background-color: #e74c3c; | |
text-align: right; | |
padding: 3px; | |
margin: 1px; | |
height: 40px; | |
line-height: 35px; | |
color: white; | |
margin-left: 120px; |
<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="utf-8"> | |
<title>Realtime survey with PubNub and D3JS</title> | |
<link rel="stylesheet" href="index.css" /> | |
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.0/css/bootstrap.min.css" /> | |
</head> | |
<body> | |
<div class="container"> |
function init_votes() { | |
pubnub.history({ | |
channel: 'survey', | |
start: 0, | |
callback: function(msg) { | |
var vote_history = msg[0]; | |
for (var i=0; i<vote_history.length; i++) { | |
increment(vote_history[i]); | |
} | |
} |