Developing Apps With Gpt 4 And Chatgpt

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

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

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.

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.

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.

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.

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

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