GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API 2023 PDF - KING OF EXCEL

Sunday, February 19, 2023

GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API 2023 PDF

 GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API 2023 PDF

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GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API 2023 PDF

Author(s): Sandra Kublik, Shubham Saboo

Publisher: Packt, Year: 2023

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.

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