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Building AI Applications with OpenAI APIs
Building AI Applications with OpenAI APIs

Building AI Applications with OpenAI APIs: Leverage ChatGPT, Whisper, and DALL-E APIs to build 10 innovative AI projects , Second Edition

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Profile Icon Martin Yanev
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$21.99 $31.99
eBook Oct 2024 252 pages 2nd Edition
eBook
$21.99 $31.99
Paperback
$39.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Martin Yanev
Arrow right icon
$21.99 $31.99
eBook Oct 2024 252 pages 2nd Edition
eBook
$21.99 $31.99
Paperback
$39.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$21.99 $31.99
Paperback
$39.99
Subscription
Free Trial
Renews at $19.99p/m

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Building AI Applications with OpenAI APIs

Part 1:Getting Started with OpenAI APIs

In the first part, encompassing two chapters, the focus is on providing a comprehensive overview of ChatGPT and its significance for Natural Language Processing (NLP). We will discuss the fundamentals of ChatGPT, exploring its impact and usage in web applications, as well as introducing readers to the ChatGPT API. This part shows the process of building a ChatGPT clone, which is a chatbot that utilizes OpenAI’s language model to generate human-like responses to user input and retains the conversation history. The application will be built using Flask, a lightweight web framework for Python.

This part has the following chapters:

  • Chapter 1, Getting Started with the ChatGPT API for NLP Tasks
  • Chapter 2, Building a ChatGPT Clone
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Key benefits

  • Transition into an expert AI developer by mastering ChatGPT concepts, including fine-tuning and integrations
  • Gain hands-on experience through real-world projects covering a wide range of AI applications
  • Implement payment systems in your applications by integrating the ChatGPT API with Stripe
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Unlock the power of AI in your applications with ChatGPT with this practical guide that shows you how to seamlessly integrate OpenAI APIs into your projects, enabling you to navigate complex APIs and ensure seamless functionality with ease. This new edition is updated with key topics such as OpenAI Embeddings, which’ll help you understand the semantic relationships between words and phrases. You’ll find out how to use ChatGPT, Whisper, and DALL-E APIs through 10 AI projects using the latest OpenAI models, GPT-3.5, and GPT-4, with Visual Studio Code as the IDE. Within these projects, you’ll integrate ChatGPT with frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt. You’ll get to grips with NLP tasks, build a ChatGPT clone, and create an AI code bug-fixing SaaS app. The chapters will also take you through speech recognition, text-to-speech capabilities, language translation, generating email replies, creating PowerPoint presentations, and fine-tuning ChatGPT, along with adding payment methods by integrating the ChatGPT API with Stripe. By the end of this book, you’ll be able to develop, deploy, and monetize your own groundbreaking applications by harnessing the full potential of ChatGPT APIs.

Who is this book for?

This book is for a diverse range of professionals, including programmers, entrepreneurs, and software enthusiasts. Beginner programmers, Python developers exploring AI applications with ChatGPT, software developers integrating AI technology, and web developers creating AI-powered web applications with ChatGPT will find this book beneficial. Scholars and researchers working on AI projects with ChatGPT will also find it valuable. Basic knowledge of Python and familiarity with APIs is needed to understand the topics covered in this book.

What you will learn

  • Develop a solid foundation in using the OpenAI API for NLP tasks
  • Build, deploy, and integrate payments into various desktop and SaaS AI applications
  • Integrate ChatGPT with frameworks such as Flask, Django, and Microsoft Office APIs
  • Unleash your creativity by integrating DALL-E APIs to generate stunning AI art within your desktop apps
  • Experience the power of Whisper API's speech recognition and text-to-speech features
  • Find out how to fine-tune ChatGPT models for your specific use case
  • Master AI embeddings to measure the relatedness of text strings

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 04, 2024
Length: 252 pages
Edition : 2nd
Language : English
ISBN-13 : 9781835884010
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Product feature icon Access this title in our online reader with advanced features
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Product feature icon AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Oct 04, 2024
Length: 252 pages
Edition : 2nd
Language : English
ISBN-13 : 9781835884010
Category :
Languages :
Concepts :

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Table of Contents

18 Chapters
Part 1:Getting Started with OpenAI APIs Chevron down icon Chevron up icon
Chapter 1: Getting Started with the ChatGPT API for NLP Tasks Chevron down icon Chevron up icon
Chapter 2: Building a ChatGPT Clone Chevron down icon Chevron up icon
Part 2: Build Web Applications with ChatGPT API Chevron down icon Chevron up icon
Chapter 3: Creating and Deploying a Code Bug-Fixing Application Using Flask Chevron down icon Chevron up icon
Chapter 4: Integrating the Code Bug-Fixing Application with a Payment Service Chevron down icon Chevron up icon
Chapter 5: Quiz Generation App with ChatGPT and Django Chevron down icon Chevron up icon
Part 3: ChatGPT, DALL-E, and Whisper APIs for Desktop Apps Development Chevron down icon Chevron up icon
Chapter 6: Language Translation Desktop App with the ChatGPT API and Microsoft Word Chevron down icon Chevron up icon
Chapter 7: Building an Outlook Email Reply Generator Chevron down icon Chevron up icon
Chapter 8: Essay Generation Tool with PyQt and the ChatGPT API Chevron down icon Chevron up icon
Chapter 9: Integrating the ChatGPT and DALL-E APIs: Building an End-to-End PowerPoint Presentation Generator Chevron down icon Chevron up icon
Chapter 10: Speech Recognition and Text-to-Speech with the Whisper API Chevron down icon Chevron up icon
Part 4: Advanced Concepts for Powering ChatGPT Apps Chevron down icon Chevron up icon
Chapter 11: Choosing the Right ChatGPT API Model Chevron down icon Chevron up icon
Chapter 12: Fine-Tuning ChatGPT to Create Unique API Models Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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