
GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API
Author(s): Sandra Kublik (Author), Shubham Saboo (Author)
- Publisher: Packt Publishing
- Publication Date: 13 Feb. 2023
- Language: English
- Print length: 150 pages
- ISBN-10: 1805125222
- ISBN-13: 9781805125228
Book Description
GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API is a comprehensive book on the Generative Pre-trained Transformer 3 AI language model, covering its significance, capabilities, and application in creating innovative NLP Products.
Key Features
- Exploration of GPT-3: The book explores GPT-3, a powerful language model, and its capabilities
- Business applications: The book provides practical knowledge on using GPT-3 to create new business products
- Examination of AI trends: The book examines the impact of GPT-3 on emerging creator economy and trends like no-code & AGI
Book Description
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.
What you will learn
- Learn the essential components of the OpenAI API along with the best practices
- Build and deploy your first GPT-3 powered application
- Learn from the journeys of industry leaders, startup founders who have built and deployed GPT-3 based products at scale
- Look at how enterprises view GPT-3 and its potential for adoption for scalable solutions
- Navigating the Consequences of GPT-3 adoption and efforts to resolve them
- Explore the exciting trends and possibilities of combining models with GPT-3 with No code
Who this book is for
This book caters to individuals from diverse backgrounds, not just technical experts. It should be useful to you if you are:
- A data expert seeking to improve your AI expertise
- An entrepreneur looking to revolutionize the AI industry
- A business leader seeking to enhance your AI knowledge and apply it to informed decision making
- A content creator in the language domain looking to utilize GPT-3’s language abilities for creative and imaginative projects
- Anyone with an AI idea that was previously deemed technically unfeasible or too costly to execute
Table of Contents
- The Large Language Model Revolution
- Getting Started with OpenAI API
- GPT-3 and Programming
- GPT-3 as Enabler for Next-Gen Startups
- GPT-3 as the Next Step in Corporate Innovation
- GPT-3: The Good, the Bad and the Ugly
- Democratizing Access to AI
- Appendix
Editorial Reviews
Review
“This book is a perfect starting point for practitioners and developers who want to understand the GPT-3 language model and learn how to build applications on the OpenAI API.”
— Peter Welinder, VP, Product & Partnerships at OpenAI
“What is instantly compelling about this book is that a wide variety of technical backgrounds can read this book and create world-class solutions using AI.”
— Noah Gift, Executive in Residence at Duke University, Founder of Pragmatic AI Labs
“If you’re looking to use GPT-3 or any large language model to build your app or service, this book has everything you need. The book dives deep into GPT-3 and its use cases and will help you apply this knowledge to your product.”
— Daniel Erickson, Founder & CEO, Viable
“The authors did a remarkable job of providing a deeper understanding of the technical and societal impact of GPT-3. After reading this book, you will feel confident discussing the state of art in artificial intelligence.”
— Bram Adams, OpenAI Developer Ambassador, Founder of Stenography
“Much needed and well-rounded book on GPT-3”
— James Weaver, Author & Speaker, Quantum Developer Advocate, IBM
“The book is awesome for beginners! It even has memes and includes a very necessary chapter on AI and ethics, but its real strength is the step-by-step procedures to work with GPT-3.”
— Ricardo Joseh Lima, Professor of Linguistics at Universidade do Estado do, Rio de Janeiro
“A comprehensive deep dive into one of the keystone generative models in natural language processing, with a practical focus on how to use the OpenAI API and integrate it into your own applications. Beyond its technical value, I consider particularly insightful the perspectives provided in the last chapters regarding biases. privacy and its role in the democratization of AI”
—
Raul Ramos-Pollan, Professor of AI at Universidad de Antioquia in Medellín, Colombia
About the Author
Sandra Kublik is an NLP expert, educator and entrepreneur. She is currently working as a member of Developer Relations at Cohere, where she focuses on facilitating the broad adoption of large language models. She is an active spokeswoman on NLP and large language models. She runs a YouTube channel where she interviews ecosystem stakeholders and discusses top AI trends. A mentor and coach to AI-first startups, co-founder of an AI acceleration program for startups Nextgrid, and hackathon community Deep Learning Labs.
Shubham Saboo has played multiple roles from a data scientist to an AI evangelist at renowned firms across the globe, where he was involved in building organization-wide data strategies and technology infrastructure to create and scale data science and machine learning practice from scratch. His work as an AI evangelist has led him to build communities and reach out to a broader audience to foster the exchange of ideas and thoughts in the burgeoning field of artificial intelligence. As part of his passion for learning new things and sharing knowledge with the community, he writes technical blogs on the advancements in AI and its economic implications. In his spare time, you can find him travelling across the country which enables him to immerse in different cultures and refine his worldview based on his experiences.
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