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Home> Data> Machine Learning> Exploring GPT-3
Exploring GPT-3
Exploring GPT-3

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

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Mex$1128.99
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AudiobookAug 20214hrs 56mins1st Edition
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Key benefits

  • 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

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.

Who is this book 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.

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

Product Details

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Publication date :Aug 27, 2021
Length:4hrs 56mins
Edition :1st
Language :English
ISBN-13 :9781805127833
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Table of Contents

14 Chapters
Section 1: Understanding GPT-3 and the OpenAI APIChevron down iconChevron up icon
Section 1: Understanding GPT-3 and the OpenAI API
Chapter 1: Introducing GPT-3 and the OpenAI APIChevron down iconChevron up icon
Chapter 1: Introducing GPT-3 and the OpenAI API
Technical requirements
Introduction to GPT-3
Democratizing NLP
Understanding prompts, completions, and tokens
Introducing Davinci, Babbage, Curie, and Ada
Understanding GPT-3 risks
Summary
Chapter 2: GPT-3 Applications and Use CasesChevron down iconChevron up icon
Chapter 2: GPT-3 Applications and Use Cases
Technical requirements
Understanding general GPT-3 use cases
Introducing the Playground
Handling text generation and classification tasks
Understanding semantic search
Summary
Section 2: Getting Started with GPT-3Chevron down iconChevron up icon
Section 2: Getting Started with GPT-3
Chapter 3: Working with the OpenAI PlaygroundChevron down iconChevron up icon
Chapter 3: Working with the OpenAI Playground
Technical requirements
Exploring the OpenAI developer console
Diving deeper into the Playground
Working with presets
Summary
Chapter 4: Working with the OpenAI APIChevron down iconChevron up icon
Chapter 4: Working with the OpenAI API
Technical requirements
Understanding APIs
Getting familiar with HTTP
Reviewing the OpenAI API endpoints
Introducing CURL and Postman
Understanding API authentication
Making an authenticated request to the OpenAI API
Introducing JSON
Using the Completions endpoint
Using the Semantic Search endpoint
Summary
Chapter 5: Calling the OpenAI API in CodeChevron down iconChevron up icon
Chapter 5: Calling the OpenAI API in Code
Technical requirements
Choosing your programming language
Introducing replit
Using the OpenAI API with Node.js/JavaScript
Using the OpenAI API in Python
Using other programming languages
Summary
Section 3: Using the OpenAI APIChevron down iconChevron up icon
Section 3: Using the OpenAI API
Chapter 6: Content FilteringChevron down iconChevron up icon
Chapter 6: Content Filtering
Technical requirements
Preventing inappropriate and offensive results
Understanding content filtering
Testing the content filtering process
Filtering content with JavaScript
Filtering content with Python
Summary
Chapter 7: Generating and Transforming TextChevron down iconChevron up icon
Chapter 7: Generating and Transforming Text
Technical requirements
Using the examples
Generating content and lists
Translating and transforming text
Extracting text
Creating chatbots
Summary
Chapter 8: Classifying and Categorizing TextChevron down iconChevron up icon
Chapter 8: Classifying and Categorizing Text
Technical requirements
Understanding text classification
Introducing the classifications endpoint
Implementing sentiment analysis
Assigning an ESRB rating to text
Classifying text by language
Classifying text from keywords
Summary
Chapter 9: Building a GPT-3-Powered Question-Answering AppChevron down iconChevron up icon
Chapter 9: Building a GPT-3-Powered Question-Answering App
Technical requirements
Introducing GPT Answers
Introducing the Answers endpoint
Setting up and testing Express
Creating the API endpoint for GPT Answers
Creating the GPT Answers user interface
Integrating the Answers endpoint
Generating relevant and factual answers
Using files with the Answers endpoint
Summary
Chapter 10: Going Live with OpenAI-Powered AppsChevron down iconChevron up icon
Chapter 10: Going Live with OpenAI-Powered Apps
Technical requirements
Going live
Understanding use case guidelines
Addressing potential approval issues
Completing the pre-launch review request
Summary
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Customer reviews

Top Reviews
Rating distribution
Full star iconFull star iconFull star iconFull star iconHalf star icon4.3
(16 Ratings)
5 star56.3%
4 star25%
3 star6.3%
2 star12.5%
1 star0%
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JamesMar 25, 2022
Full star iconFull star iconFull star iconFull star iconFull star icon5
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
Amazon Verified reviewAmazon
MelanieSep 19, 2021
Full star iconFull star iconFull star iconFull star iconFull star icon5
I'm a content designer/UX writer, not a developer. So when I heard about GPT-3, I was very intrigued about what this might mean for the future of my profession.I wanted to try to build an app using GPT-3 to generate content, but I didn't know enough about code to even get started. Learning code was incredibly slow going. I wondered, was there a quick and easy way to get a GPT-3 web app up and running?This book was exactly what I needed. It takes you step by step through the process of using GPT-3's API to make queries, and shows you how to make a basic web front end. I learned a lot about Node.js while building, too. If you're a developer, you'll probably find this book too basic. But for my purposes, it was perfect.Love this book! Thanks Steve.
Amazon Verified reviewAmazon
marc waescheJul 24, 2022
Full star iconFull star iconFull star iconFull star iconFull star icon5
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!
Amazon Verified reviewAmazon
Matthew EmerickAug 27, 2021
Full star iconFull star iconFull star iconFull star iconFull star icon5
About This BookThis 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.OrganizationThere 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 ThoughtsOverall, 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.
Amazon Verified reviewAmazon
Sam doGooderAug 27, 2021
Full star iconFull star iconFull star iconFull star iconFull star icon5
This is an excellent introduction to the transformative GPT-3 conversational AI platform - essentially allowing someone with zero to little technical knowledge to be able to navigate use-cases like chatbots and AI-based text comprehension. The book is split into three parts, with the first two talking about the basics of the technology (what is API, how to use it, Curl/Postman etc.), and how to get started with the OpenAI public beta. In addition, there is a choice of languages with most examples available in both Javascript & Python - so you can use whatever works for you. The 3rd section will be something that advanced users might want to start with straightaway - with immediate use-cases being highlighted with full code availability. Essentially, for a book that works almost entirely on an API - there is a tremendous amount of content which would be useful for anyone who is even tangentially interested in exploring where AI in text is going. Highly recommended
Amazon Verified reviewAmazon
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About the author

Profile icon Tingiris
Tingiris
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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.
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