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.


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


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.


Building Web Apps for Google TV

Building Web Apps for Google TV

Author: Andres Ferrate

Publisher: "O'Reilly Media, Inc."

Published: 2011-06-16

Total Pages: 117

ISBN-13: 1449313132

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By integrating the Web with traditional TV, Google TV offers developers an important new channel for content. But creating apps for Google TV requires learning some new skills—in fact, what you may already know about mobile or desktop web apps isn't entirely applicable. Building Web Apps for Google TV will help you make the transition to Google TV as you learn the tools and techniques necessary to build sophisticated web apps for this platform. This book shows you how Google TV works, how it fits into the web ecosystem, and what the opportunities are for delivering rich content to millions of households. Discover the elements of a compelling TV web app, and what comprises TV-friendly navigation Learn the fundamentals for designing the 10-foot user experience Work with the Google Chrome browser on a TV display, and migrate an existing site Use examples for developing a TV web app, including the UI, controls, and scrolling Understand how to optimize, deliver, and protect video content for Google TV Help users discover your content by optimizing your site for Search—especially videos


Natural Language Processing with Python

Natural Language Processing with Python

Author: Steven Bird

Publisher: "O'Reilly Media, Inc."

Published: 2009-06-12

Total Pages: 506

ISBN-13: 0596555717

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This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.


Digital Tools for Teachers - Trainers' Edition V.2

Digital Tools for Teachers - Trainers' Edition V.2

Author: Nik Peachey

Publisher: PeacheyPublications Ltd

Published:

Total Pages: 187

ISBN-13:

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In this second version of the Trainers’ Edition of Digital Tools for Teachers, I have built on the original volume of Digital Tools for Teachers by updating and extending many of the original chapters and also by adding seven additional new chapters. In this book, the first four chapters are provided as a guide for teachers who want to use the book for teacher training and development. Contents 1. - Introduction ........................................................ 1 2. - Conceptual Models ...........................................11 3. - Training Tips ..................................................... 25 4. - Training Activities ............................................ 31 5. - Training Tools .................................................. 52 6. - Reading Tools .................................................. 60 7. - Writing Tools ................................................... 73 8. - Listening Tools ................................................ 94 9. - Speaking Tools .............................................. 102 10. - Grammar Tools ............................................ 114 11. - Presentation Tools ...................................... 122 12. - Poll & Survey Tools ..................................... 130 13. - Infographic Tools ........................................ 137 14. - Course Creation Tools ................................ 148 15. - Games & Gamification ................................ 163 16. - Virtual Reality Tools ................................... 172 17. - e-Safety ........................................................ 179 Using the tools, tips and activities provided in these first chapters a teacher with some basic experience of using technology in the classroom should be able to create motivating hands-on edtech training for their peers or for pre-service trainee teachers. The fifth additional chapter is dedicated to providing a range of links to ready-made computer games that can be used for language acquisition and development. The sixth additional chapter focuses on virtual reality and provides links to a range of tools and resources that can enable teachers to exploit this area of technology within their classroom practice. The seventh additional chapter looks at the area of e-safety and the things that we can do to protect our students, ourselves and our computers from some of the potential threats that we can encounter online. The remainder of the book, like the first edition, is a collection of more than 100 links to tools and resources that have been chosen and organised to enable teachers to easily find ways of applying technology to the activities they do with their students. I sincerely hope you find this book useful and that it helps you to enhance your teaching and training and helps to make your students’ learning experience richer and more engaging.


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