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 4: GPT-3 as Enabler for Next-Gen Startups
Before the release of GPT-3, most people’s interaction with AI was limited to certain specific tasks, like asking Alexa to play your favorite song or using Google Translate to converse in different languages. Researchers have successfully developed AIs capable of performing mundane tasks, but so far, AIs have yet to match humans’ creative potential in performing abstract tasks without clear, well-defined instructions.
With the era of LLMs around the corner, we are looking at a significant paradigm shift. LLMs have shown us that by increasing the size of models, they can perform creative and complex tasks similar to humans. Now the biggest question: Is AI capable of performing creative activities?
The creative potential of AI has always been an exciting area of research, though mostly hidden behind the tight R&D walls of companies like Google and Facebook of the world. GPT-3 is changing how we interact with AI and empowering...