Exploring GPT-3
eBook Details:
- Paperback: 296 pages
- Publisher: WOW! eBook (August 27, 2021)
- Language: English
- ISBN-10: 1800563191
- ISBN-13: 978-1800563193
eBook Description:
Exploring GPT-3: Get started with GPT-3 and the OpenAI API for natural language processing using JavaScript and Python
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 Exploring GPT-3 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.
- 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
By the end of this Exploring GPT-3 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.
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