GPT-4 for Developers

Cover....1

Title Page....4

Copyright Page....5

Dedication....6

Contents....8

Preface....14

Chapter 1: ChatGPT and GPT-4....18

What is Generative AI?....18

Key Features of Generative AI....18

Popular Techniques in Generative AI....19

What Makes Generative AI Different....19

Conversational AI Versus Generative AI....20

Primary Objectives....20

Applications....20

Technologies Used....20

Training and Interaction....21

Evaluation....21

Data Requirements....21

Is DALL-E Part of Generative AI?....21

Are ChatGPT-3 and GPT-4 Part of Generative AI?....22

DeepMind....23

DeepMind and Games....23

Player of Games (PoG)....23

OpenAI....24

Cohere....25

Hugging Face....25

Hugging Face Libraries....25

Hugging Face Model Hub....25

AI21....26

InflectionAI....26

Anthropic....26

What is Prompt Engineering?....27

Prompts and Completions....27

Types of Prompts....28

Instruction Prompts....28

Reverse Prompts....28

System Prompts Versus Agent Prompts....29

Prompt Templates....29

Prompts for Different LLMs....30

Poorly Worded Prompts....31

What is ChatGPT?....32

ChatGPT: GPT-3 “on Steroids?”....33

ChatGPT: Google “Code Red”....33

ChatGPT Versus Google Search....34

ChatGPT Custom Instructions....34

ChatGPT on Mobile Devices and Browsers....35

ChatGPT and Prompts....35

GPTBot....35

ChatGPT Playground....36

ChatGPT and Medical Diagnosis....36

Plugins, Advanced Data Analysis, and Code Whisperer....37

Plugins....37

Advanced Data Analysis....38

Advanced Data Analysis Versus Claude 2....39

Code Whisperer....39

Detecting Generated Text....40

Concerns About ChatGPT....40

Code Generation and Dangerous Topics....41

ChatGPT Strengths and Weaknesses....41

Sample Queries and Responses from ChatGPT....42

Alternatives to ChatGPT....44

Google Bard....44

YouChat....45

Pi from Inflection....45

Machine Learning and ChatGPT: Advanced Data Analysis....45

What is InstructGPT?....46

VizGPT and Data Visualization....47

What is GPT-4?....48

GPT-4 and Test-Taking Scores....49

GPT-4 Parameters....49

GPT-4 Fine-Tuning....49

ChatGPT and GPT-4 Competitors....50

Bard....50

CoPilot (OpenAI/Microsoft)....51

Codex (OpenAI)....52

Apple GPT....52

PaLM-2....52

Med-PaLM M....52

Claude 2....53

LlaMa-2....53

How to Download LlaMa-2....53

LlaMa-2 Architecture Features....54

Fine-Tuning LlaMa-2....54

When is GPT-5 Available?....55

Summary....56

Chapter 2: ChatGPT and Python....58

Simple Calculator....59

Simple File Handling....60

Simple Web Scraping....60

Basic Chatbot....61

Basic Data Visualization....62

Basic Pandas....63

Generate Random Data....64

Recursion: Fibonacci Numbers....65

Object Oriented Programming....66

Asynchronous Programming with asyncio....66

Working with Requests in Python....70

Image Processing with PIL....71

Exception Handling....74

Generators in Python....74

Roll 7 or 11 with Two Dice....75

Roll 7 or 11 with Three Dice....76

Roll 7 or 11 with Four Dice....78

Mean and Standard Deviation....79

Summary....79

Chapter 3: ChatGPT and Data Visualization....82

Working with Charts and Graphs....82

Bar Charts....83

Pie Charts....83

Line Graphs....84

Heat Maps....84

Histograms....84

Box Plots....85

Pareto Charts....85

Radar Charts....85

Treemaps....86

Waterfall Charts....86

Line Plots with Matplotlib....86

A Pie Chart Using Matplotlib....87

Box-and-Whisker Plots using Matplotlib....88

Time Series Visualization with Matplotlib....89

Stacked Bar Charts with Matplotlib....90

Donut Charts Using Matplotlib....92

3D Surface Plots with Matplotlib....92

Radial or Spider Charts with Matplotlib....94

Matplotlib’s Contour Plots....96

Stream Plots for Vector Fields....97

Quiver Plots for Vector Fields....99

Polar Plots....100

Bar Charts with Seaborn....100

Scatter Plots with Regression Lines Using Seaborn....101

Heatmaps for a Correlation Matrix with Seaborn....102

Histograms with Seaborn....103

Violin Plots with Seaborn....104

Pair Plots Using Seaborn....105

Facet Grids with Seaborn....106

Hierarchical Clustering....107

Swarm Plots....108

Joint Plots for Bivariate Data....109

Point Plots for Factorized Views....110

Seaborn’s KDE Plots for Density Estimations....111

Seaborn’s Ridge Plots....112

Summary....113

Chapter 4: Linear Regression With GPT-4....114

What is Linear Regression?....115

Examples of Linear Regression....115

Metrics for Linear Regression....116

Coefficient of Determination (R2)....117

Linear Regression with Random Data with GPT-4....118

Linear Regression with a Dataset with GPT-4....121

Describe the Features of the death.csv Dataset....122

The Preparation Process of the Dataset....124

The Exploratory Analysis....126

Detailed EDA on the death.csv Dataset....127

Bivariate and Multivariate Analyses....130

The Model Selection Process....132

Code for Linear Regression with the death.csv Dataset....134

Describe the Model Diagnostics....136

Additional Model Diagnostics....138

More Recommendations from GPT-4....139

Summary....141

Chapter 5: Visualization with Generative AI....142

Generative AI and Art and Copyrights....143

Generative AI and GANs....143

GANs (Generative Adversarial Networks)....144

What is Diffusion?....144

Diffusion Image Sample....145

Diffusion Models Versus GANs....146

What are Diffusers and DDPMs?....146

CLIP (OpenAI)....147

GLIDE (OpenAI)....148

Text-to-Image Generation....148

Stability AI/Stable Diffusion....149

Imagen (Google)....150

Make-a-Scene (Meta)....150

Diffuse the Rest....150

GauGAN2 (NVIDIA)....152

PromptBase....152

Limitations of Text-to-Image Models....152

Text-to-Image Models....152

The DALL-E Models....154

DALL-E....154

DALL-E 3....154

Paid Accounts for DALL-E....155

Invoking the DALL-E API....156

DALL-E 2....159

DALL-E 2 Overview....159

The DALL-E 2 Model....160

DALL-E 2 Content Preparation....161

DALL-E-Bot....161

DALL-E Demos....162

Text-to-Video Generation....163

Meta (Make-a-Video)....163

Imagen Text-to-Video....163

Ruben Villegas and Google (Phenaki)....164

Text-to-Speech Generation....164

Whisper (OpenAI)....165

Summary....165

Index....166

This resource is designed to bridge the gap between theoretical understanding and practical application, making it a useful tool for software developers, data scientists, AI researchers, and tech enthusiasts interested in harnessing the power of GPT-4 in Python environments. The book contains an assortment of Python 3.x code samples that were generated by ChatGPT and GPT-4. Chapter 1 provides an overview of ChatGPT and GPT-4, followed by a chapter which contains Python 3.x code samples for solving various programming tasks in Python. Chapter 3 contains code samples for data visualization, and Chapter 4 contains code samples for linear regression. The final chapter covers visualization with Gen AI (Generative AI) and DALL-E. Companion files with source code and figures are available for downloading.

FEATURES

• Offers an all-encompassing view of ChatGPT and GPT-4, from basics to advanced topics, including functionalities, capabilities, and limitations
• Contains Python 3.x code samples demonstrating the application of GPT-4 in real-world scenarios
• Provides a forward-looking perspective on Generative AI and its integration with data visualization and DALL-E
• Includes companion files with source code, data sets, and figures