Daniel Schulz danielschulz

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

Client (Customer)
Load Balancer (Greeter)
Data Center (Coffee Shop)
Distributed Message Queue (Bulletin Board w/ Sticky Notes)
- Producer (Cashier)
- Consumer (Barista)
Database (Ledger Book)

Instructions

I. Clean Python setup from scratch. (~1h) Skip if you already have a python environment setup or want to use your own python virtualenv setup

0. Pre-install (skip if already done)

sudo apt-get install python3-pip python-dev

Python 3.9 comes as a default with Fedora 34. However, sometimes you may wish to install older versions for development and test purposes. Apart from groupinstall command, these instructions work for CentOS and REHL systems as well.

Prerequisites

Install python development dependencies.

sudo dnf groupinstall "Development Tools"
sudo dnf install python3-devel openssl-devel zlib-devel bzip2-devel sqlite-devel libffi-devel

Note: You will need to rebuild and reinstall if you install new source or development libraries for python. Do not create or modify symlinks for python, python3, etc, as that may and will break many dependent libraries in your system.

We will not be using anacond, just classic old pip3
Works on python <= 3.8
Recomended OS: Fedora29(Have reached End of Life), Ubuntu 18.04(End of life: 2023). You can also use Later versions of same OS.
Step 1:
Install Nvidia Propiatary Drivers:
For ubuntu: link[https://medium.com/@redowan/no-bullshit-guide-on-installing-tensorflow-gpu-ubuntu-18-04-18-10-238924cc4a6a]. //Just follow the part where he shows how to install drivers.
For Fedora using optimus: link[https://www.reddit.com/r/Fedora/comments/ga1ek6/optimus_setting_the_nvidia_gpu_as_primary/]. I personally stopped before Step 8(in tutorial).
I know they are Lenghty process(may require several Reboots, but stay with me.
Step 2:
Install Cuda10.1 for tf2.2 and tf1.15{only for python<3.8}, using this link1[https://developer.nvidia.com/cuda-10.1-download-archive-base?target_os=Linux]. A local .deb/.rpm method is recomended.

Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software

NVIDIA graphics card driver (v450.57)
CUDA (v11.0.2)
cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

Foundations of the SOLID principles (Episode 8)

Design smells:
- Immobility
- Viscosity: how easy is to add design-preserving code to a system
- Needles complexity
Dependency management principles:
- SOLID
- Component cohesion principles
- Component coupling principles

	Date Quantity
	2009-01 168,00
	2009-02 177,00
	2009-03 198,00
	2009-04 193,50
	2009-05 181,50
	2009-06 202,50
	2009-07 222,00
	2009-08 222,00
	2009-09 204,00

	let country = "de"; // replace with 'at' for shops in Austria
	let storeId = 251;
	let param = args.widgetParameter;
	if (param != null && param.length > 0) {
	if (param.indexOf(";") > 0) {
	const paramSplit = param.split(";");
	storeId = paramSplit[0];
	country = paramSplit[1].toLowerCase();
	} else {
	storeId = param;

	#!/bin/bash

	set -eo pipefail

	# Purge existing drivers first if needed
	sudo apt-get purge --auto-remove -y "nvidia*"

	sudo ubuntu-drivers autoinstall
	sudo apt-mark manual nvidia-prime nvidia-settings libnvidia-compute-440:i386 libnvidia-decode-440:i386 libnvidia-encode-440:i386 libnvidia-gl-440:i386