Book Image

GPT-3

By : Sandra Kublik, Shubham Saboo
3 (2)
Book Image

GPT-3

3 (2)
By: Sandra Kublik, Shubham Saboo

Overview of this book

GPT-3 has made creating AI apps simpler than ever. This book provides a comprehensive guide on how to utilize the OpenAI API with ease. It explores imaginative methods of utilizing this tool for your specific needs and showcases successful businesses that have been established through its use. The book is divided into two sections, with the first focusing on the fundamentals of the OpenAI API. The second part examines the dynamic and thriving environment that has arisen around GPT-3. Chapter 1 sets the stage with background information and defining key terms. Chapter 2 goes in-depth into the API, breaking it down into its essential components, explaining their functions and offering best practices. Chapter 3, you will build your first app with GPT-3. Chapter 4 features interviews with the founders of successful GPT-3-based products, who share challenges and insights gained. Chapter 5 examines the perspective of enterprises on GPT-3 and its potential for adoption. The problematic consequences of widespread GPT-3 adoption, such as misapplication and bias, are addressed along with efforts to resolve these issues in Chapter 6. Finally, Chapter 7 delves into the future by exploring the most exciting trends and possibilities as GPT-3 becomes increasingly integrated into the commercial ecosystem.
Table of Contents (12 chapters)
Preface
Free Chapter
1
Contents
2
Chapter 1: The Large Language Model Revolution
3
Chapter 2. Getting Started with OpenAI API
4
Chapter 3: GPT-3 and Programming
5
Chapter 4: GPT-3 as Enabler for Next-Gen Startups
6
Chapter 5: GPT-3 as the Next Step in Corporate Innovation
7
Chapter 6: GPT-3: The Good, the Bad, and the Ugly
8
Conclusion: Democratizing Access to AI
9
Acknowledgements
10
About The Author
11
About The Author
Chapter 6: GPT-3: The Good, the Bad, and the Ugly
Every technological revolution brings controversy. In this section we focus on four of the most controversial aspects of GPT-3: AI bias being encoded into the model; low-quality content and the spread of misinformation; GPT-3’s environmental footprint; and data privacy issues.  When you mix human biases with a powerful tool capable of producing huge quantities of seemingly coherent text, the results can be dangerous.
The fluency and coherence of much of GPT-3’s text output raise several risks because people are prepared to interpret it as meaningful. Many also view the human developers involved in creating GPT-3-based apps as “authors” of its output and demand that they be held accountable for its contents.   
The risks we consider in this chapter follow from the nature of GPT-3’s training data, which is to say, the English-speaking internet. Human language reflects our worldviews...