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GPT-3

You're reading from   GPT-3 The Ultimate Guide To Building NLP Products With OpenAI API

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781805125228
Length 150 pages
Edition 1st Edition
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Authors (2):
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Sandra Kublik Sandra Kublik
Author Profile Icon Sandra Kublik
Sandra Kublik
Shubham Saboo Shubham Saboo
Author Profile Icon Shubham Saboo
Shubham Saboo
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Table of Contents (12) Chapters Close

Preface
1. Contents
2. Chapter 1: The Large Language Model Revolution FREE CHAPTER
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...
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83
Tech Concepts
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Programming languages
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