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GPT-4 for Developers

1C Agda GPT/AI/ИИ
GPT-4 for Developers
Автор: Campesato Oswald
Дата выхода: 2024
Издательство: Mercury Learning and Information LLC.
Количество страниц: 169
Размер файла: 1,2 МБ
Тип файла: PDF
Добавил: LibCoder
Оглавление
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

Описание

В этом материале разберём тему: code.

The book contains an assortment of Python 3.x code samples that were generated by ChatGPT and GPT-4. 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. 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. The final chapter covers visualization with Gen AI (Generative AI) and DALL-E. Chapter 3 contains code samples for data visualization, and Chapter 4 contains code samples for linear regression. Companion files with source code and figures are available for downloading.

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

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code python samples chapter data contains chatgpt visualization

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автор — Campesato Oswald, издательство Mercury Learning and Information LLC., год выпуска 2024, 169 страниц.

О чём книга «GPT-4 for Developers»?

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 pow

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