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Building AI Applications with OpenAI APIs

You're reading from   Building AI Applications with OpenAI APIs Leverage ChatGPT, Whisper, and DALL-E APIs to build 10 innovative AI projects

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781835884003
Length 252 pages
Edition 2nd Edition
Languages
Concepts
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Author (1):
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Martin Yanev Martin Yanev
Author Profile Icon Martin Yanev
Martin Yanev
LinkedIn
Martin Yanev is a highly accomplished software engineer with a wealth of expertise spanning diverse industries, including aerospace and medical technology. With an illustrious career of over eight years, Martin has carved a niche for himself in developing and seamlessly integrating cutting-edge software solutions for critical domains such as air traffic control and chromatography systems.nRenowned as an esteemed instructor and a computer science professor at Fitchburg State University, Martin has empowered an impressive global community of over 280,000 students. His instructional prowess shines through as he imparts knowledge and guidance, leveraging his extensive proficiency in frameworks such as Flask, Django, pytest, and TensorFlow. Possessing a deep understanding of the complete spectrum of OpenAI APIs, Martin exhibits mastery in constructing, training, and fine-tuning AI systems.nMartin’s commitment to excellence is exemplified by his dual master’s degrees in aerospace systems and software engineering. This remarkable academic achievement underscores his unwavering dedication to both the practical and theoretical facets of the industry. With his exceptional track record and multifaceted skill set, Martin continues to propel innovation and drive transformative advancements in the ever-evolving landscape of software engineering.
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Table of Contents (19) Chapters Close

Preface 1. Part 1:Getting Started with OpenAI APIs FREE CHAPTER
2. Chapter 1: Getting Started with the ChatGPT API for NLP Tasks 3. Chapter 2: Building a ChatGPT Clone 4. Part 2: Build Web Applications with ChatGPT API
5. Chapter 3: Creating and Deploying a Code Bug-Fixing Application Using Flask 6. Chapter 4: Integrating the Code Bug-Fixing Application with a Payment Service 7. Chapter 5: Quiz Generation App with ChatGPT and Django 8. Part 3: ChatGPT, DALL-E, and Whisper APIs for Desktop Apps Development
9. Chapter 6: Language Translation Desktop App with the ChatGPT API and Microsoft Word 10. Chapter 7: Building an Outlook Email Reply Generator 11. Chapter 8: Essay Generation Tool with PyQt and the ChatGPT API 12. Chapter 9: Integrating the ChatGPT and DALL-E APIs: Building an End-to-End PowerPoint Presentation Generator 13. Chapter 10: Speech Recognition and Text-to-Speech with the Whisper API 14. Part 4: Advanced Concepts for Powering ChatGPT Apps
15. Chapter 11: Choosing the Right ChatGPT API Model 16. Chapter 12: Fine-Tuning ChatGPT to Create Unique API Models 17. Index 18. Other Books You May Enjoy

Part 4: Advanced Concepts for Powering ChatGPT Apps

In this final part, you will explore the AI models and their unique attributes, allowing you to develop a comprehensive grasp of their cost, quality, and prompt length considerations. Armed with this knowledge, you will be empowered to select the optimal model that aligns with the requirements of your specific applications. Moreover, you will unlock the ability to construct your very own ChatGPT model and enhance its functionalities through fine-tuning and embeddings, thereby tailoring it to perfectly cater to your individual needs.

This part has the following chapters:

  • Chapter 11, Choosing the Right ChatGPT API Model
  • Chapter 12, Fine-Tuning ChatGPT to Create Unique API Models
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Authors (1)

Profile icon Martin Yanev
Martin Yanev
LinkedIn icon
Martin Yanev is a highly accomplished software engineer with a wealth of expertise spanning diverse industries, including aerospace and medical technology. With an illustrious career of over eight years, Martin has carved a niche for himself in developing and seamlessly integrating cutting-edge software solutions for critical domains such as air traffic control and chromatography systems. Renowned as an esteemed instructor and a computer science professor at Fitchburg State University, Martin has empowered an impressive global community of over 280,000 students. His instructional prowess shines through as he imparts knowledge and guidance, leveraging his extensive proficiency in frameworks such as Flask, Django, pytest, and TensorFlow. Possessing a deep understanding of the complete spectrum of OpenAI APIs, Martin exhibits mastery in constructing, training, and fine-tuning AI systems. Martin's commitment to excellence is exemplified by his dual master's degrees in aerospace systems and software engineering. This remarkable academic achievement underscores his unwavering dedication to both the practical and theoretical facets of the industry. With his exceptional track record and multifaceted skill set, Martin continues to propel innovation and drive transformative advancements in the ever-evolving landscape of software engineering.
Read more
See other products by Martin Yanev
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