Jump to ratings and reviews
Rate this book

Exploring GPT-3

Rate this book
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.

296 pages, Paperback

Published August 1, 2021

6 people want to read

About the author

Steve Tingiris

2 books1 follower

Ratings & Reviews

What do you think?
Rate this book

Friends & Following

Create a free account to discover what your friends think of this book!

Community Reviews

5 stars
1 (16%)
4 stars
1 (16%)
3 stars
3 (50%)
2 stars
1 (16%)
1 star
0 (0%)
Displaying 1 - 2 of 2 reviews
Profile Image for Dimitri.
213 reviews2 followers
July 9, 2023
📕 Why (Not) to read this book (Target Audience)

If you want to learn more about what GTP is beyond the Chat interface.

👀 How this book changed my daily live (Takeaways)

GPT is a virtual agent without any pre-programmed prompt. Chat GTP is GTP access via chat instead off an API.
• G = Generative
• P = Pre-trained
• T = Transformer

⁉ Spoiler Alerts (Highlights)

Prompt building:
Freeform with inclusion of Role / Task / Instructions
Role: Act like an instructional designer.
Task: Create a list of learning objectives to cook a smoked potato salad that is visually appealing and tastes fantastic to your guests.
Instruction: Learning objectives are only one sentence. Learning objectives contain a goal, behavior, criterion, and conditions.
Structured via JSON: Structuredprompt.com

Prompt sequence: Set up a series of prompts to maintain temporary memory and "tuned" responses.
Profile Image for Alexej Gerstmaier.
186 reviews20 followers
August 21, 2021
Rather to basic for my taste; doesn't have much too offer that isn't already in the official FAQs.

Developments in the GPT-3 space happen fast; this book already seems obsolete given that it lacks information on fine-tuning and codex APIs.

Might be a good intro for someone who has never worked with any APIs whatsoever in his life.
Displaying 1 - 2 of 2 reviews

Can't find what you're looking for?

Get help and learn more about the design.