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Exploring GPT-3: An unofficial first look at the general-purpose language processing API from OpenAI
Get started with GPT-3 and the OpenAI API for natural language processing using JavaScript and Python
Key FeaturesUnderstand the power of potential GPT-3 language models and the risks involvedExplore core GPT-3 use cases such as text generation, classification, and semantic search using engaging examplesPlan and prepare a GPT-3 application for the OpenAI review process required for publishing a live applicationBook DescriptionGenerative 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 learnUnderstand what GPT-3 is and how it can be used for various NLP tasksGet a high-level introduction to GPT-3 and the OpenAI APIImplement JavaScript and Python code examples that call the OpenAI APIStructure GPT-3 prompts and options to get the best possible resultsSelect the right GPT-3 engine or model to optimize for speed and cost-efficiencyFind out which use cases would not be suitable for GPT-3Create a GPT-3-powered knowledge base application that follows OpenAI guidelinesWho this book is forExploring 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.
Table of ContentsIntroducing GPT-3 and the OpenAI APIGPT-3 Applications and Use CasesWorking with the OpenAI PlaygroundWorking with the OpenAI API Calling the OpenAI API in CodeContent FilteringGenerating and Transforming TextClassifying and Categorizing TextBuilding a GPT-3 Powered Question-Answering AppGoing Live with OpenAI-Powered Apps
Key FeaturesUnderstand the power of potential GPT-3 language models and the risks involvedExplore core GPT-3 use cases such as text generation, classification, and semantic search using engaging examplesPlan and prepare a GPT-3 application for the OpenAI review process required for publishing a live applicationBook DescriptionGenerative 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 learnUnderstand what GPT-3 is and how it can be used for various NLP tasksGet a high-level introduction to GPT-3 and the OpenAI APIImplement JavaScript and Python code examples that call the OpenAI APIStructure GPT-3 prompts and options to get the best possible resultsSelect the right GPT-3 engine or model to optimize for speed and cost-efficiencyFind out which use cases would not be suitable for GPT-3Create a GPT-3-powered knowledge base application that follows OpenAI guidelinesWho this book is forExploring 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.
Table of ContentsIntroducing GPT-3 and the OpenAI APIGPT-3 Applications and Use CasesWorking with the OpenAI PlaygroundWorking with the OpenAI API Calling the OpenAI API in CodeContent FilteringGenerating and Transforming TextClassifying and Categorizing TextBuilding a GPT-3 Powered Question-Answering AppGoing Live with OpenAI-Powered Apps
- GenresArtificial Intelligence
296 pages, Kindle Edition
Published August 27, 2021
21 people are currently reading
22 people want to read
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Displaying 1 - 3 of 3 reviews
June 12, 2023
It started well, explaining some basic concepts behind GPT. But the last half of the book is very weak. It wastes many pages explaining basic stuff like HTTP and how to use Curl, and the examples are too repetitive.
May 11, 2022
Much more explanation dedicated to basic API calling than how to use the system. Am left with many basic questions, but stilll is a good quick onboarding.
February 17, 2023
This book is a very thorough and friendly guide to building a GPT-3 application from openai's beta version API. It also provides a step-by-step guide with other related tools to the readers.
The only two things I can think of to improve are to provide more in-depth content such as improving latency, as well as to update or add more recent API features or functions, such as embedding, which is missing in the book and I guess it is because these features were not released by openai at the time this book was written.
Overall, it is a very nice book to help me to start understanding openai's text-based API, as well as start incorporating it with other necessary tools to build a web application.
Thank you very much Mr. Tingiris. Please keep up the good work.
The only two things I can think of to improve are to provide more in-depth content such as improving latency, as well as to update or add more recent API features or functions, such as embedding, which is missing in the book and I guess it is because these features were not released by openai at the time this book was written.
Overall, it is a very nice book to help me to start understanding openai's text-based API, as well as start incorporating it with other necessary tools to build a web application.
Thank you very much Mr. Tingiris. Please keep up the good work.
Displaying 1 - 3 of 3 reviews