Developing Apps with GPT-4 and ChatGPT
Developing Apps with GPT-4 and ChatGPT

Author: Olivier Caelen

Publisher: "O'Reilly Media, Inc."

Published: 2023-08-29

Total Pages: 158

ISBN-13: 109815245X

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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
Developing Apps with Gpt-4 and Chatgpt: Build Intelligent Chatbots, Content Generators, and More

Author: Olivier Caelen

Publisher: O'Reilly Media

Published: 2024-01-30

Total Pages: 0

ISBN-13: 9781098152482

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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

Building Chatbots with Python
Building Chatbots with Python

Author: Sumit Raj

Publisher: Apress

Published: 2018-12-12

Total Pages: 205

ISBN-13: 1484240960

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Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you. The next stage is to learn to build a chatbot using the API.ai platform and define its intents and entities. During this example, you will learn to enable communication with your bot and also take a look at key points of its integration and deployment. The final chapter of Building Chatbots with Python teaches you how to build, train, and deploy your very own chatbot. Using open source libraries and machine learning techniques you will learn to predict conditions for your bot and develop a conversational agent as a web application. Finally you will deploy your chatbot on your own server with AWS. What You Will Learn Gain the basics of natural language processing using Python Collect data and train your data for the chatbot Build your chatbot from scratch as a web app Integrate your chatbots with Facebook, Slack, and Telegram Deploy chatbots on your own server Who This Book Is For Intermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book.

Developing Web Apps with Haskell and Yesod
Developing Web Apps with Haskell and Yesod

Author: Michael Snoyman

Publisher: "O'Reilly Media, Inc."

Published: 2015-02-17

Total Pages: 392

ISBN-13: 1491915579

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"This fast-moving guide introduces web application development with Haskell and Yesod, a potent language/framework combination that supports high-performing applications that are modular, type-safe, and concise. You'll work with several samples to explore the way Yesod handles widgets, forms, persistence, and RESTful content. You also get an introduction to various Haskell tools to supplement your basic knowledge of the language. By the time you finish this book, you'll create a production-quality web application with Yesod's ready-to-use scaffolding. You'll also examine several real-world examples, including a blog, a wiki, a JSON web service, and a Sphinx search server"--Publisher's description.

Win Forever
Win Forever

Author: Pete Carroll

Publisher: Penguin

Published: 2011-08-02

Total Pages: 254

ISBN-13: 1101548398

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"I know that I'll be evaluated in Seattle with wins and losses, as that is the nature of my profession for the last thirty-five years. But our record will not be what motivates me. Years ago I was asked, 'Pete, which is better: winning or competing?' My response was instantaneous: 'Competing. . . because it lasts longer.'" Pete Carroll is one of the most successful coaches in football today. As the head coach at USC, he brought the Trojans back to national prominence, amassing a 97-19 record over nine seasons. Now he shares the championship-winning philosophy that led USC to seven straight Pac-10 titles. This same mind-set and culture will shape his program as he returns to the NFL to coach the Seattle Seahawks. Carroll developed his unique coaching style by trial and error over his career. He learned that you get better results by teaching instead of screaming, and by helping players grow as people, not just on the field. He learned that an upbeat, energetic atmosphere in the locker room can coexist with an unstoppable competitive drive. He learned why you should stop worrying about your opponents, why you should always act as if the whole world is watching, and many other contrarian insights. Carroll shows us how the Win Forever philosophy really works, both in NCAA Division I competition and in the NFL. He reveals how his recruiting strategies, training routines, and game-day rituals preserve a team's culture year after year, during championship seasons and disappointing seasons alike. Win Forever is about more than winning football games; it's about maximizing your potential in every aspect of your life. Carroll has taught business leaders facing tough challenges. He has helped troubled kids on the streets of Los Angeles through his foundation A Better LA. His words are true in any situation: "If you want to win forever, always compete."

Applied Natural Language Processing in the Enterprise
Applied Natural Language Processing in the Enterprise

Author: Ankur A. Patel

Publisher: "O'Reilly Media, Inc."

Published: 2021-05-12

Total Pages: 336

ISBN-13: 1492062545

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NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production

Natural Language Processing with Transformers, Revised Edition
Natural Language Processing with Transformers, Revised Edition

Author: Lewis Tunstall

Publisher: "O'Reilly Media, Inc."

Published: 2022-05-26

Total Pages: 409

ISBN-13: 1098136764

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Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments

Designing Data-Intensive Applications
Designing Data-Intensive Applications

Author: Martin Kleppmann

Publisher: "O'Reilly Media, Inc."

Published: 2017-03-16

Total Pages: 658

ISBN-13: 1491903104

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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

Appcelerator Titanium: Up and Running
Appcelerator Titanium: Up and Running

Author: John Anderson

Publisher: "O'Reilly Media, Inc."

Published: 2013-03-11

Total Pages: 154

ISBN-13: 1449329519

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Build native apps for iOS, Android, and Blackberry from a single JavaScript codebase with Appcelerator Titanium. This guide gets you quickly up to speed on this amazing framework and shows you how to generate cross-platform apps with 100% native controls. You’ll also learn the advantages of using Titanium when you want to create an app for just one native platform, rather than struggle with Java or Objective-C. Fast-paced and full of examples, this book helps you build your first project with Titanium Studio, and then takes you through the steps necessary to build complex data-bound apps. Learn how Titanium differs from frameworks such as jQuery Mobile and Sencha Touch Set up and use iOS and Android SDKs and compilers with Titanium Build basic UI and window controls, and create your own composite objects Take a peek at how Titanium objects and methods work behind the scenes Learn how JavaScript makes Titanium easy to extend and customize Develop apps that consume complex data, whether it’s stored locally or on remote servers Understand the pros and cons of distributing apps on the App Store and Android Market

Artificial Intelligence Programming with Python
Artificial Intelligence Programming with Python

Author: Perry Xiao

Publisher: John Wiley & Sons

Published: 2022-02-21

Total Pages: 724

ISBN-13: 1119820960

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A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python “cheat sheet” quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.