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Developing Apps with GPT-4 and ChatGPT, 2nd Edition
book

Developing Apps with GPT-4 and ChatGPT, 2nd Edition

by Olivier Caelen, Marie-Alice Blete
July 2024
Intermediate to advanced
272 pages
7h 22m
English
O'Reilly Media, Inc.
Content preview from Developing Apps with GPT-4 and ChatGPT, 2nd Edition

Glossary of Key Terms

This resource is designed to provide concise definitions and explanations of key terms that are introduced in this book. Many of these terms recur throughout the chapters, so this glossary is your go-to memo.

You will find definitions of technical terms, acronyms, and concepts that are central to understanding GPT-4 and ChatGPT and using the OpenAI library.

Application programming interface (API)
A set of definitions and protocols for application interaction. An API describes the methods and data formats that a program must use to communicate with other software. For example, in the context of OpenAI, it allows developers to use GPT-4 and ChatGPT.
Approximate nearest neighbor (ANN)
A method for quickly finding points in a dataset that are close to a query point. It’s fast and works well on large datasets because, in contrast to KNN, it doesn’t always select the exact closest points, but it does find points that are close enough.
Artificial intelligence (AI)
A field of computer science focused on creating algorithms that can perform tasks that are traditionally the domain of human intelligence, such as processing natural language, analyzing images, solving complex problems, and making decisions.
Artificial neural network
A computational model inspired by the human brain, used in machine learning to process complex tasks. It consists of interconnected layers of nodes, or neurons, that transform input data through weighted connections. Some types, such as recurrent ...
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Publisher Resources

ISBN: 9781098168094Errata Page