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 5: GPT-3 as the Next Step in Corporate Innovation
When a new innovation or technical shift happens, big corporations are usually the last to adopt it. Their hierarchical structures are composed of various authoritarian levels, and standard processes of legal approvals and paperwork often limit freedom to experiment, making it difficult for enterprises to be early adopters. But this doesn’t seem to be the case with GPT-3. As soon as the API was released, corporations started experimenting with it. However, they ran into a significant barrier: data privacy.
In its simplest form, all a language model does is to predict the next word given a series of previous words. As you learned in Chapter 2, OpenAI has devised several techniques to transform the functioning of language models like GPT-3 from simple next-word prediction to more useful NLP tasks such as answering questions, summarizing documents, and generating context-specific text. Typically, the best results are achieved...