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Steve Tingiris

Exploring GPT-3: An unofficial first look at the general-purpose language processing API from OpenAI

by Steve Tingiris (Author), Bret Kinsella (Foreword)

33 ratings

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Get started with GPT-3 and the OpenAI API for natural language processing using JavaScript and Python

Key Features

Understand the power of potential GPT-3 language models and the risks involved
Explore core GPT-3 use cases such as text generation, classification, and semantic search using engaging examples
Plan and prepare a GPT-3 application for the OpenAI review process required for publishing a live application

Book Description

Generative Pre-trained Transformer 3 (GPT-3) is a highly advanced language model from OpenAI that can generate written text that is virtually indistinguishable from text written by humans. Whether you have a technical or non-technical background, this book will help you understand and start working with GPT-3 and the OpenAI API.

If you want to get hands-on with leveraging artificial intelligence for natural language processing (NLP) tasks, this easy-to-follow book will help you get started. Beginning with a high-level introduction to NLP and GPT-3, the book takes you through practical examples that show how to leverage the OpenAI API and GPT-3 for text generation, classification, and semantic search. You'll explore the capabilities of the OpenAI API and GPT-3 and find out which NLP use cases GPT-3 is best suited for. You'll also learn how to use the API and optimize requests for the best possible results. With examples focusing on the OpenAI Playground and easy-to-follow JavaScript and Python code samples, the book illustrates the possible applications of GPT-3 in production.

By the end of this book, you'll understand the best use cases for GPT-3 and how to integrate the OpenAI API in your applications for a wide array of NLP tasks.

What you will learn

Understand what GPT-3 is and how it can be used for various NLP tasks
Get a high-level introduction to GPT-3 and the OpenAI API
Implement JavaScript and Python code examples that call the OpenAI API
Structure GPT-3 prompts and options to get the best possible results
Select the right GPT-3 engine or model to optimize for speed and cost-efficiency
Find out which use cases would not be suitable for GPT-3
Create a GPT-3-powered knowledge base application that follows OpenAI guidelines

Who this book is for

Exploring GPT-3 is for anyone interested in natural language processing or learning GPT-3 with or without a technical background. Developers, product managers, entrepreneurs, and hobbyists looking to get to grips with NLP, AI, and GPT-3 will find this book useful. Basic computer skills are all you need to get the most out of this book.

Introducing GPT-3 and the OpenAI API
GPT-3 Applications and Use Cases
Working with the OpenAI Playground
Working with the OpenAI API
Calling the OpenAI API in Code
Content Filtering
Generating and Transforming Text
Classifying and Categorizing Text
Building a GPT-3 Powered Question-Answering App
Going Live with OpenAI-Powered Apps

ISBN-10

1800563191
ISBN-13

978-1800563193
Publisher

Packt Publishing
Publication date

August 27, 2021
Language

English
Dimensions

7.5 x 0.67 x 9.25 inches
Print length

296 pages
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Editorial Reviews

About the Author

Steve Tingiris is the founder and managing director of Dabble Lab, a technology research and services company that helps businesses accelerate learning and adoption of natural language processing, conversational AI, and other emerging technologies. He has been designing and building automation solutions for over 20 years and has consulted on conversational AI projects for companies including Amazon, Google, and Twilio. He also publishes technical tutorials on Dabble Lab’s YouTube channel― one of the most popular educational resources for conversational AI developers―and manages several open-source projects, including the Autopilot CLI, Twilio’s recommended tool for building Autopilot bots. To connect with Steve, you can find him on GitHub tingiris or on Twitter tingiris.

Product details

Publisher ‏ : ‎ Packt Publishing (August 27, 2021)
Language ‏ : ‎ English
Paperback ‏ : ‎ 296 pages
ISBN-10 ‏ : ‎ 1800563191
ISBN-13 ‏ : ‎ 978-1800563193
Item Weight ‏ : ‎ 1.13 pounds
Dimensions ‏ : ‎ 7.5 x 0.67 x 9.25 inches

Best Sellers Rank: #137,558 in Books (See Top 100 in Books)
- #15 in Artificial Intelligence Expert Systems
- #44 in Computer Neural Networks
- #156 in Computer Graphics & Design

Customer Reviews:
33 ratings

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Steve Tingiris

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Steve Tingiris is the founder and managing director of Dabble Lab, a technology services company that helps businesses accelerate learning and adoption of natural language processing, conversational AI, and other emerging technologies. He has been designing and building automation solutions for over 20 years and has consulted on conversational AI projects for companies including Amazon, Google, and Twilio. He also publishes technical tutorials on Dabble Lab’s YouTube channel— one of the most popular educational resources for conversational AI developers—and manages several open-source projects, including the Autopilot CLI, Twilio’s recommended tool for building Autopilot bots.

Customer reviews

4.2 out of 5

33 global ratings

5 star		55%
4 star		23%
3 star		11%
2 star		5%
1 star		6%

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Top reviews from the United States

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Ashraf A Osman

good book, more for techies

Reviewed in the United States 🇺🇸 on February 17, 2023

Verified Purchase

I enjoyed the book but half way through I got lost in technicalities. I recommend it if you are into programming

Helpful

Todd K

No original material here, and already outdated.

Reviewed in the United States 🇺🇸 on September 15, 2021

Verified Purchase

Virtually everything about GPT-3 in this book can easily be obtained from the OpenAI website and a few simple Google searches. I was hoping that the book would explore the topics already covered in OpenAI's materials in more depth, but it doesn't.

Further, the book does not cover Fine Tuning. It would not be fair to blame the author for that, because it's a recent addition to GPT-3, but it's an important topic and this means the book is already out of date for many readers.

Finally, if you're a developer like me, you'll find this book incredibly rudimentary. It devotes much space to describing how to use Postman and cURL, for example. But even if you're not a developer, I'd recommend skipping this book and going straight to OpenAI and the web.

18 people found this helpful

Helpful

Michael A. Leach

Ages Well. Even After a Few Years

Reviewed in the United States 🇺🇸 on February 21, 2023

The API has changed since this book was first published in 2021. But for a Reader in 2023, this is still a great start to learn the breadth of capabilities in GPT-3.

The coding examples in multiple languages get a bit repetitive. The Author could have put more emphasis on the API completions and results. Completions are the big payoff for each OpenAI API call, but the book displays them using small screenshots.

But for a quick understanding of classifiers, summarizations, completions, and chatbots.... this is a pretty good book.

Reviewed in the United States 🇺🇸 on July 24, 2022

A really very good structured document about the technical background and the usage of GPT-3! Unfortunatelly the very first review here (at least for me) was rather negative pointing to the fact that all informations in this book can also be found on the openAI website OR with a Google search. Of course! Show me a technical book which contains secrets you can not find anywhere in the internet! A technical book helps the owner to find things fast. That's it!

2 people found this helpful

Helpful

soleey

No-coders & low-coders take note! 'Exploring GPT-3' will get you from zero to one. 🚀

Reviewed in the United States 🇺🇸 on September 28, 2021

I will admit, I was a bit hesitant at first thinking this would be another book written for developers in dev-speak that would require the reader to have back knowledge in code concepts etc to really get practical value of it. And as a no-coder, it would be less useful for me. (I needed more of a ‘GPT-3 for Dummies’ version. Well I was pleasantly surprised that this was NOT the case.

In fact, I would recommend this book particularly for no-coders & low-coders interested in AI and wanting to use it (if not today, someday) or just trying to get a grasp around what is currently available out there. And here’s why… If a developer read the docs on OpenAi’s webpage for GPT-3, they would get it..and know how to implement and use it, because.. using apis and curl and python etc is part of their jargon. When I tried, I understood the concepts yes…but still didn’t know how I would actually use it to make something work beyond experimenting in the GPT-3 playground on the OpenAI website. ‘Exploring GPT-3’ bridged that gap for me in a number of ways.

Here’s what Steve & Bret did exceptionally well in this book:
1. Broke down the concepts, constraints, and use cases akin to ‘Tell it to me like I’m a 5th Grader’… (which may have actually been him running the text through GPT-3 for the right copy to include in the book. Lol.) But seriously, the concepts, and explanations are very accessible and understandable.

2. Lots of exercises and step-by-step practice in using the OpenAI API which not only gives you experience using it (in an API application like postman or paw, or in code like nodeJs and python), but removes a lot of fear around this being ‘too dev’ for me to be able to use on my own as a newbie in the AI world.

3. More than 15 Code projects in both of the most popular web languages (javascript & python), which are usually the 2 that people learning web dev start with, so this makes it something that they can use immediately and repeatedly as a step in their own coding journey (rather than a detour away from it). If you haven’t picked one yet, and wanted to test the water… this book gives you a great feel for both in a way that you can easily compare which works better for you. (I decided on going the javascript route)

4. He even talks beyond the pure code part of using the API into considerations and requirements you will face when it comes time to get your application approved to use in the real world. So it is a real end to end curriculum to get anyone up and running creating their GPT-3 project and launching it to the world.

And of course, having a solid foundation and orientation through this book, digesting and using the official OpenAI docs is a lot easier, and I know how to make sense and use them now. (Which will come in handy as I tackle fine tuning soon (which was released sometime after the book was completed).

Final words of advice, even though you can just read through it and get it…definitely actually type out the code and get it up and working (if you are a new to coding or no-coder like I am). The practice and gaining familiarity in using the API, will be a skill you will use in your no-code projects for sure.

Well that’s my tl;dr. for those considering it… it’s worth it. For developers, your mileage may vary if you understand the OpenAI documentation directly, but for everyone else this is a great onramp to get started beyond the OpenAI playground and actually build your first application using the OpenAI API.

-€

4 people found this helpful

Helpful

Matthew Emerick

A Complete Guide to Using GPT-3

Reviewed in the United States 🇺🇸 on August 27, 2021

About This Book
This book looks into how GPT-3 and how to interact with it. Examples are given in both Python and Javascript, though you don’t need any more than the given code to work the examples. There are a large number of examples included and a lot of advice on how to get the most out of one of the largest NLP models that exists.

Who Is This For?
The main audience for this book is anyone who wants to use GPT-3 in their software or website. One of the best parts of the book is that you don’t need to be technically inclined to any of the examples. But if you are a software developer, you can do a lot with GPT-3.

Organization
There are three sections: introduction, getting started, and digging into the API. The book starts with everything you need to prepare for the remainder of the rest of the book. The final chapter details considerations if you intend to put your GPT-3 work into production. All in all, the layout is solid. Each chapter is kept simple, starting with the technical requirements and ending with a summary.

Did This Book Succeed?
This book really is everything included in this book, as the GPT-3 API is simple. By reading this book, you’ll know everything you’ll need to implement GPT-3 in nearly any way you choose. I can’t think of anything that is missing or and superfluous material.

Rating and Final Thoughts
Overall, I give this book a 4.5 out of 5.

Technically, GPT-3 is simple enough for a series of blog entries, so I have to question the need for this book. However, the author did an excellent job in keeping everything to the point and making sure you knew how much your inquiries are going to cost you. It’s well written with both fun and serious examples to show you the power and the drawbacks of GPT-3.

4 people found this helpful

Helpful

Top reviews from other countries

James

Excellen overview

Reviewed in the United Kingdom 🇬🇧 on March 25, 2022

Verified Purchase

Thought this was well laid out and well written. Outdated? Of course, there will be changes for example to the pricing of GTP-3, but these are small points. I thought the writers did a great job of explaining a complex topic - loved it

One person found this helpful

See all reviews

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