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ChatGPT Resources

Context

ChatGPT appeared like an explosion on all my social media timelines in early December 2022. While I keep up with machine learning as an industry, I wasn't focused so much on this particular corner, and all the screenshots seemed like they came out of nowhere. What was this model? How did the chat prompting work? What was the context of OpenAI doing this work and collecting my prompts for training data?

I decided to do a quick investigation. Here's all the information I've found so far. I'm aggregating and synthesizing it as I go, so it's currently changing pretty frequently.

Model Architecture

rmongodb Tutorial

This is a quick document aimed at highlighting the basics of what you might want to do using MongoDB and R. I am coming at this, almost completely, from a SQL mindset.

Install

The easiest way to install, I believe, is

Create a Meteor app and put the client_/server_ files in a client/server directories. Also, create a public dir to save the uploaded files.

Avoid jQuery When Possible

jQuery does good jobs when you're dealing with browser compatibility. But we're living in an age that fewer and fewer people use old-school browsers such as IE <= 7. With the growing of DOM APIs in modern browsers (including IE 8), most functions that jQuery provides are built-in natively.

When targeting only modern browsers, it is better to avoid using jQuery's backward-compatible features. Instead, use the native DOM API, which will make your web page run much faster than you might think (native C / C++ implementaion v.s. JavaScript).

If you're making a web page for iOS (e.g. UIWebView), you should use native DOM APIs because mobile Safari is not that old-school web browser; it supports lots of native DOM APIs.

If you're making a Chrome Extension, you should always use native APIs, not only because Chrome has almost the latest DOM APIs available, but this can also avoid performance issue and unnecessary memory occupation (each jQuery-driven extension needs a separate

	#!/usr/bin/env node
	// Based on the 'replace text' hook found here: http://devgirl.org/2013/11/12/three-hooks-your-cordovaphonegap-project-needs/
	// This hook should be placed in the 'after_prepare' hook folder.

	// The hook relies on a JSON file located at '<project_root>/resources/.build.json' to track the build number.
	// build.json content:
	// {"build: 1}

	// Add 'BUILDNR' to the version number in the '<project_root>/config.xml' file.

	window={};
	window.BlobBuilder = require("BlobBuilder");
	location={};
	location.protocol="http";

	BinaryPack = require("binary-pack");
	XMLHttpRequest = require("xmlhttprequest").XMLHttpRequest;


	var wrtc = require("wrtc");

	// Live video stream management for HTML5 video. Uses FFMPEG to connect to H.264 camera stream,
	// Camera stream is remuxed to a MP4 stream for HTML5 video compatibility and segments are recorded for later playback
	var liveStream = function (req, resp) { // handle each client request by instantiating a new FFMPEG instance
	// For live streaming, create a fragmented MP4 file with empty moov (no seeking possible).

	var reqUrl = url.parse(req.url, true)
	var cameraName = typeof reqUrl.pathname === "string" ? reqUrl.pathname.substring(1) : undefined;
	if (cameraName) {
	try {
	cameraName = decodeURIComponent(cameraName);

	{url:'stun:stun01.sipphone.com'},
	{url:'stun:stun.ekiga.net'},
	{url:'stun:stun.fwdnet.net'},
	{url:'stun:stun.ideasip.com'},
	{url:'stun:stun.iptel.org'},
	{url:'stun:stun.rixtelecom.se'},
	{url:'stun:stun.schlund.de'},
	{url:'stun:stun.l.google.com:19302'},
	{url:'stun:stun1.l.google.com:19302'},
	{url:'stun:stun2.l.google.com:19302'},

	syntax on 'this is needed to see syntax
	set background=dark "makes it easier to read with black background
	set lines=33
	set columns=127

	<?php
	use Symfony\Component\Security\Core\Encoder\MessageDigestPasswordEncoder;
	$encoder = new MessageDigestPasswordEncoder();
	echo $encoder->encodePassword('foo', '');
	// 5FZ2Z8QIkA7UTZ4BYkoC+GsReLf569mSKDsfods6LYQ8t+a8EW9oaircfMpmaLbPBh4FOBiiFyLfuZmTSUwzZg==