Developing Apps With Gpt 4 And Chatgpt Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Developing Apps With Gpt 4 And Chatgpt book. This book definitely worth reading, it is an incredibly well-written.
Developing Apps with GPT-4 and ChatGPT by Olivier Caelen,Marie-Alice Blete Pdf
This minibook is a comprehensive guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and ChatGPT and explain how they work. You'll also get a step-by-step guide for developing applications using the GPT-4 and ChatGPT Python library, including text generation, Q&A, and content summarization tools. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: The fundamentals and benefits of ChatGPT and GPT-4 and how they work How to integrate these models into Python-based applications for NLP tasks How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation, question answering, and content summarization, among other tasks Advanced GPT topics including prompt engineering, fine-tuning models for specific tasks, plug-ins, LangChain, and more
Developing Apps with Gpt-4 and Chatgpt: Build Intelligent Chatbots, Content Generators, and More by Olivier Caelen,Marie-Alice Blete Pdf
This mini-book is a comprehensive guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and ChatGPT and explain how they work. You'll also get a step-by-step guide for developing applications using the GPT-4 and ChatGPT Python library, including text generation, Q&A, and content summarization tools. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: The fundamentals and benefits of ChatGPT and GPT-4 and how they work How to integrate these models into Python-based applications for NLP tasks How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation, question-and-answer, and content summarization, among other tasks Advanced GPT topics, including prompt engineering, fine-tuning models for specific tasks, plug-ins, and more
OpenAI GPT For Python Developers - 2nd Edition by Aymen El Amri Pdf
The knowledge you'll acquire from this guide will be applicable to the current families of GPT models (GPT-3, GPT-3.5, GPT-4, etc.) and will likely also be relevant to GPT-5, should it ever be released. OpenAI provides APIs (Application Programming Interfaces) to access their AI. The goal of an API is to abstract the underlying models by creating a universal interface for all versions, allowing users to use GPT regardless of its version. This guide aims to provide a comprehensive, step-by-step tutorial on how to utilize GPT-3.5 and GPT-4 in your projects via this API. It also covers other models, such as Whisper and Text-to-Speech. If you're developing a chatbot, an AI assistant, or a web application that utilizes AI-generated data, this guide will assist you in achieving your objectives. If you have a basic understanding of the Python programming language and are willing to learn a few additional techniques, such as using Pandas Dataframes and some NLP methods, you possess all the necessary tools to start building intelligent systems with OpenAI tools. Rest assured, you don't need to be a data scientist, machine learning engineer, or AI expert to comprehend and implement the concepts, techniques, and tutorials presented in this guide. The explanations provided are straightforward and easy to understand, featuring simple Python code, examples, and hands-on exercises. This guide emphasizes practical, hands-on learning and is designed to assist readers in building real-world applications. It is example-driven and provides numerous practical examples to help readers understand the concepts and apply them to real-life scenarios to solve real-world problems. By the end of your learning journey, you will have developed applications such as: Fine-tuned, domain-specific chatbots. An intelligent conversational system with memory and context. A semantic modern search engine using RAG and other techniques. An intelligent coffee recommendation system based on your taste. A chatbot assistant to assist with Linux commands A fine-tuned news category prediction system. An AI-to-AI autonomous discussion system to simulate human-like conversations or solve problems An AI-based mental health coach trained on a large dataset of mental health conversations and more! By reading this guide and following the examples, you will be able to: Understand the different models available, and how and when to use each one. Generate human-like text for various purposes, such as answering questions, creating content, and other creative uses. Control the creativity of GPT models and adopt the best practices to generate high-quality text. Transform and edit the text to perform translation, formatting, and other useful tasks. Optimize the performance of GPT models using various parameters and options such as max_tokens, temperature, top_p, n, stream, logprobs, stop, presence_penalty, frequency_penalty, best_of, and others. Stem, lemmatize and reduce your costs when using the API. Understand Context Stuffing, chaining, and practice prompt engineering. Implement a chatbot with memory and context. Create prediction algorithms and zero-shot techniques and evaluate their accuracy. Understand, practice, and improve few-shot learning. Understand fine-tuning and leverage its power to create your own fine-tuned models. Understand and use fine-tuning best practices Practice training and classification techniques using GPT. Understand embedding and how companies such as Tesla and Notion are using it. Understand and implement semantic search, RAG, and other advanced tools and concepts. Integrate a Vector Database (e.g.: Weaviate) with your intelligent systems.
Introduction to Chat GPT: Supercharge Your Productivity with AI - Create Apps, Websites, Google Chrome Extensions & Much More by A. C. Hamilton Pdf
Unlock The Power Of AI - Get A Front Row Seat To The AI Revolution With Chat GPT! Learn About The Awesome Abilities of Chat GPT And How I Wrote This Book In Just ONE DAY!Get ready to embark on a journey into the world of cutting-edge technology and artificial intelligence! Whether you're an author, content creator, or simply someone who is curious about AI, this book is for you.Discover the awe-inspiring abilities of Chat GPT - a game-changing technology in natural language processing. In this comprehensive guide, you'll learn everything you need to know about Chat GPT, including its inner workings, advanced capabilities, and practical applications. With the updated content, you'll also learn valuable insight into the additional capabilities of Chat GPT such as how to use it to create websites, software applications, Google Chrome extensions, and more.This book is packed with useful insights, real-life examples, and step-by-step instructions to help you understand and implement Chat GPT into your own projects. Whether you're looking to create captivating content, automate tedious writing tasks, or generate custom text for personal or professional use, this guide will provide you with the tools and knowledge you need.Learn:The fundamentals of natural language processing and deep learningHow Chat GPT is trained and how it can be fine-tunedHow to generate responses and interpret user input with Chat GPTTips for incorporating Chat GPT into your projects and unlocking its full potentialWho This Book is For:This book is for anyone and everyone who wants to be part of the AI revolution. Whether you're an author searching for creative inspiration, a social media influencer looking to optimize your content creation, or simply someone who wants to experience the power of AI, this guide has something for you. Say goodbye to writer's block and hello to endless possibilities with Chat GPT.
Designing Data-Intensive Applications by Martin Kleppmann Pdf
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Exploring GPT-3 by Steve Tingiris,Bret Kinsella Pdf
Get started with GPT-3 and the OpenAI API for natural language processing using JavaScript and Python Key FeaturesUnderstand the power of potential GPT-3 language models and the risks involvedExplore core GPT-3 use cases such as text generation, classification, and semantic search using engaging examplesPlan and prepare a GPT-3 application for the OpenAI review process required for publishing a live applicationBook Description Generative Pre-trained Transformer 3 (GPT-3) is a highly advanced language model from OpenAI that can generate written text that is virtually indistinguishable from text written by humans. Whether you have a technical or non-technical background, this book will help you understand and start working with GPT-3 and the OpenAI API. If you want to get hands-on with leveraging artificial intelligence for natural language processing (NLP) tasks, this easy-to-follow book will help you get started. Beginning with a high-level introduction to NLP and GPT-3, the book takes you through practical examples that show how to leverage the OpenAI API and GPT-3 for text generation, classification, and semantic search. You'll explore the capabilities of the OpenAI API and GPT-3 and find out which NLP use cases GPT-3 is best suited for. You'll also learn how to use the API and optimize requests for the best possible results. With examples focusing on the OpenAI Playground and easy-to-follow JavaScript and Python code samples, the book illustrates the possible applications of GPT-3 in production. By the end of this book, you'll understand the best use cases for GPT-3 and how to integrate the OpenAI API in your applications for a wide array of NLP tasks. What you will learnUnderstand what GPT-3 is and how it can be used for various NLP tasksGet a high-level introduction to GPT-3 and the OpenAI APIImplement JavaScript and Python code examples that call the OpenAI APIStructure GPT-3 prompts and options to get the best possible resultsSelect the right GPT-3 engine or model to optimize for speed and cost-efficiencyFind out which use cases would not be suitable for GPT-3Create a GPT-3-powered knowledge base application that follows OpenAI guidelinesWho this book is for Exploring GPT-3 is for anyone interested in natural language processing or learning GPT-3 with or without a technical background. Developers, product managers, entrepreneurs, and hobbyists looking to get to grips with NLP, AI, and GPT-3 will find this book useful. Basic computer skills are all you need to get the most out of this book.
API development is becoming increasingly common for server-side developers thanks to the rise of front-end JavaScript frameworks, iPhone applications, and API-centric architectures. It might seem like grabbing stuff from a data source and shoving it out as JSON would be easy, but surviving changes in business logic, database schema updates, new features, or deprecated endpoints can be a nightmare. After finding many of the existing resources for API development to be lacking, Phil learned a lot of things the hard way through years of trial and error. This book aims to condense that experience, taking examples and explanations further than the trivial apples and pears nonsense tutorials often provide. By passing on some best practices and general good advice you can hit the ground running with API development, combined with some horror stories and how they were overcome/avoided/averted. This book will discuss the theory of designing and building APIs in any language or framework, with this theory applied in PHP-based examples.
Building Android Apps in Python Using Kivy with Android Studio by Ahmed Fawzy Mohamed Gad Pdf
Start building Python-based Android applications using Kivy with Android Studio. Through in-depth examples, this book teaches you everything you need to create your first Android application in Python and publish on Google Play. Building Android Apps in Python Using Kivy with Android Studio takes you through the basics of Kivy by discussing its application structure, widgets, and event handling. The KV language is then introduced for separating the logic and GUI by adding widgets within a KV file. You will then learn how to utilize Android camera using Kivy, build the HTTP server using Flask, and create and manage multiple screens to help you design your own applications. Through detailed step-by-step instructions, you will create your first multi-level cross-platform game that includes animation and sound effects. Following this, the process of converting the Kivy application into an Android application using Buildozer and Python-4-Android is covered in detail. You will then learn how to edit the generated Android Studio project into Android Studio by adding extensions to the original application. The widgets added in Kivy could be handled within Android Studio. Moreover, Android views could be added to enrich the Kivy application. The resulting Android application created with Kivy can be hosted on Google Play to download and install as a regular Android application. At the end, this book will give you the basic knowledge of Kivy needed to build cross-platform Android applications, produce an Android Studio project, and understand how it all works in detail. What You Will Learn Build cross-platform applications from scratch using Kivy in detailCreate a cross-platform interactive multi-level game from the ground upExamine the pipeline of building an Android app from the Python Kivy appUnderstand the structure of the Android Studio project produced by KivyRecognize how to extend the application within Android Studio by adding more Android views to the application main activity. Who This Book Is For Python developers with no previous experience in Kivy who are looking to create their first Android application completely in Python.
Windows 8.1 Apps with XAML and C# Unleashed by Adam Nathan Pdf
Full color: Learn how to build great Windows Store apps! Figures and code appear as they do in Visual Studio. Windows 8.1 enables you to build stunning applications that integrate with each other, Web services, and Windows itself. You can sell them in the Windows Store, with more options than ever before, for tablets such as Surface, laptops, and traditional desktop PCs! World-renowned Microsoft programming guru Adam Nathan shows you exactly how to write first-class apps for this significant update to Windows. Don’t let the minor name change fool you--Windows 8.1 contains an incredible amount of new developer opportunities compared to Windows 8. Clear, accessible, and intensely practical, this guide teaches through concise code examples, in full color to match their appearance in Visual Studio--the same approach that made Nathan’s WPF Unleashed so popular. Writing with unprecedented depth and insight, Nathan guides you through creating advanced user interfaces with XAML and exploiting key Windows 8.1 features. Whether you’re already comfortable with Microsoft programming or relatively new to it, Windows 8.1 Apps with XAML and C# Unleashed will take you to the cutting edge of Windows 8.1 development. Detailed information on how to... Use XAML to represent state-of-the-art user interfaces, even across multiple windows Handle touch, mouse, keyboard, and pen input, including handwriting recognition Use new Windows 8.1 controls for creating hubs, flyouts, better app bars, performing in-app searches, rendering PDFs, and much more Encode, decode, and transcode multimedia content and speech-enable your app Leverage rich XAML vector graphics and animation Interact with built-in functionality such as the Camera app, file picker, the lock screen, new contacts and appointments integration, and more Exploit the Windows 8.1 charms bar Integrate DirectX graphics seamlessly Work with the rich set of available sensors: accelerometer, compass, light sensor, location (with geofencing support), proximity, and more Control devices such as fingerprint readers, image and bar code scanners, magnetic stripe readers, and custom Bluetooth, USB, HID, or Wi-Fi Direct devices
Python Object-Oriented Programming by Steven F. Lott,Dusty Phillips Pdf
A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniques Key Features Build an intuitive understanding of object-oriented design, from introductory to mature programs Learn the ins and outs of Python syntax, libraries, and best practices Examine a machine-learning case study at the end of each chapter Book Description Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning. Steven and Dusty provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python's classes and data structures to facilitate good design. In addition, the book also features an in-depth look at Python's exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem. By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs. What you will learn Implement objects in Python by creating classes and defining methods Extend class functionality using inheritance Use exceptions to handle unusual situations cleanly Understand when to use object-oriented features, and more importantly, when not to use them Discover several widely used design patterns and how they are implemented in Python Uncover the simplicity of unit and integration testing and understand why they are so important Learn to statically type check your dynamic code Understand concurrency with asyncio and how it speeds up programs Who this book is for If you are new to object-oriented programming techniques, or if you have basic Python skills and wish to learn how and when to correctly apply OOP principles in Python, this is the book for you. Moreover, if you are an object-oriented programmer coming from other languages or seeking a leg up in the new world of Python, you will find this book a useful introduction to Python. Minimal previous experience with Python is necessary.
An argument that we must read code for more than what it does—we must consider what it means. Computer source code has become part of popular discourse. Code is read not only by programmers but by lawyers, artists, pundits, reporters, political activists, and literary scholars; it is used in political debate, works of art, popular entertainment, and historical accounts. In this book, Mark Marino argues that code means more than merely what it does; we must also consider what it means. We need to learn to read code critically. Marino presents a series of case studies—ranging from the Climategate scandal to a hactivist art project on the US-Mexico border—as lessons in critical code reading. Marino shows how, in the process of its circulation, the meaning of code changes beyond its functional role to include connotations and implications, opening it up to interpretation and inference—and misinterpretation and reappropriation. The Climategate controversy, for example, stemmed from a misreading of a bit of placeholder code as a “smoking gun” that supposedly proved fabrication of climate data. A poetry generator created by Nick Montfort was remixed and reimagined by other poets, and subject to literary interpretation. Each case study begins by presenting a small and self-contained passage of code—by coders as disparate as programming pioneer Grace Hopper and philosopher Friedrich Kittler—and an accessible explanation of its context and functioning. Marino then explores its extra-functional significance, demonstrating a variety of interpretive approaches.
Building Web Apps with Ember.js by Jesse Cravens,Thomas Q Brady Pdf
If you’re a web developer interested in building scalable single-page applications—full-stack, browser-based apps that connect to a backend—this practical guide shows you how to use Ember.js, the popular JavaScript framework based on the model-view-controller (MVC) architectural pattern. Through the course of the book, you’ll learn how to build a prototype Ember application (a musician index called Rock’n’Roll Call), using routers, templates, models, controllers, and views. You’ll also understand how Ember’s convention over configuration approach helps you persist data, build backend technologies, and create widgets for developing production-capable applications that behave like desktop software. Set up workflow management and boilerplate code creation Learn how Ember’s “developer ergonomics” help you use less code Write templates for the book’s prototype with Handlebars.js Use routers to manage application states without reloading the page Connect controllers and views with events, and sync data with data-binding Build an Ember backend with a RESTful API or Ruby on Rails Use the Ember-Data library to persist data and talk to the backend Write reusable encapsulated widgets to extend your applications
Programming Google App Engine with Python by Dan Sanderson Pdf
This practical guide shows intermediate and advanced web and mobile app developers how to build highly scalable Python applications in the cloud with Google App Engine. The flagship of Google's Cloud Platform, App Engine hosts your app on infrastructure that grows automatically with your traffic, minimizing up-front costs and accommodating unexpected visitors. You’ll learn hands-on how to perform common development tasks with App Engine services and development tools, including deployment and maintenance. App Engine's Python support includes a fast Python 2.7 interpreter, the standard library, and a WSGI-based runtime environment. Choose from many popular web application frameworks, including Django and Flask. Get a hands-on introduction to App Engine's tools and features, using an example application Simulate App Engine on your development machine with tools from Google Cloud SDK Structure your app into individually addressable modules, each with its own scaling configuration Exploit the power of the scalable Cloud Datastore, using queries, transactions, and data modeling with the ndb library Use Cloud SQL for standard relational databases with App Engine applications Learn how to deploy, manage, and inspect your application on Google infrastructure
Hands-On Low-Code Application Development with Salesforce by Enrico Murru Pdf
Explore a wide range of low-code tools in the Salesforce platform for building customized CRM applications without writing any code Key FeaturesCreate apps with a rich user experience without paying for costly developersLeverage Salesforce Lightning Platform’s declarative features to build professional-grade applicationsImprove productivity with business process automation using Workflow, Process Builder, and FlowBook Description Low-code platforms allow users to focus on business logic to create solutions without getting trapped in programming complexities. Thanks to its powerful features for designing, developing, and deploying apps without having to hand-code, Salesforce is at the forefront of the low-code development revolution. This book will guide you in building creative applications for solving your business problems using the declarative framework provided by Salesforce. You’ll start by learning how to design your business data model with custom objects, fields, formulas, and validation rules, all secured by the Salesforce security model. You’ll then explore tools such as Workflow, Process Builder, Lightning Flow, and Actions that will help you to automate your business processes with ease. This book also shows you how to use Lightning App Builder to build personalized UIs for your Salesforce applications, explains the value of creating community pages for your organization, and teaches you how to customize them with Experience Builder. Finally, you'll work with the sandbox model, deploy your solutions, and deliver an effective release management strategy. By the end of this Salesforce book, you’ll be ready to customize Salesforce CRM to meet your business requirements by creating unique solutions without writing a single line of code. What you will learnGet to grips with the fundamentals of data modeling to enhance data qualityDeliver dynamic configuration capabilities using custom settings and metadata typesSecure your data by implementing the Salesforce security modelCustomize Salesforce applications with Lightning App BuilderCreate impressive pages for your community using Experience BuilderUse Data Loader to import and export data without writing any codeEmbrace the Salesforce Ohana culture to share knowledge and learn from the global Salesforce communityWho this book is for If you are a citizen developer, business analyst, Salesforce administrator, or anyone interested in developing applications or solutions for business problems but lack technical knowledge, this book is for you. No prior programming experience is required.
Author : George Berkowski Publisher : Little Brown Uk Page : 480 pages File Size : 40,9 Mb Release : 2014-09-04 Category : Business & Economics ISBN : 0349401373
How to Build a Billion Dollar App by George Berkowski Pdf
An accessible, step-by-step guide to building an app-based business—essential reading for anyone who has an idea for an app, but is unsure of where to start Apps have changed the way we communicate, shop, play, interact, and travel, and their phenomenal popularity has presented possibly the biggest business opportunity in history. InHow to Build a Billion Dollar App, serial tech entrepreneur George Berkowski—one of the minds behind the internationally successful taxi hailing app Hailo—gives you exclusive access to the secrets behind the success of the select group of apps that have achieved billion-dollar success. Berkowski draws exclusively on the inside stories of the billion-dollar app club members, including Instagram, Whatsapp, Snapchat, Candy Crush, Square, Viber, Clash of Clans, Angry Birds, Uber, and Flipboard to provide all the information you need to create your own spectacularly successful mobile business. He guides you through each step, from an idea scribbled on the back of an envelope, through to finding a cofounder, building a team, attracting (and keeping) millions of users, all the way through to juggling the pressures of being CEO of a billion-dollar company (and still staying ahead of the competition). If you've ever dreamed of quitting your nine to five job to launch your own company or you're a gifted developer, seasoned entrepreneur, or just intrigued by mobile technology, How to Build a Billion Dollar App will show you what itreally takes to create your own billion-dollar, mobile business.
