Understanding large language models : learning their underlying concepts and technologies / Thimira Amaratunga.
Amaratunga, Thimira, author.
2023
Q335
Available Online

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Title Understanding large language models : learning their underlying concepts and technologies / Thimira Amaratunga.
Author Amaratunga, Thimira, author.
ISBN 9798868800177 (electronic bk.)
9798868800160
DOI https://doi.org/10.1007/979-8-8688-0017-7
Published Berkeley, CA : Apress , 2023.
Language English
Description 1 online resource (xvii, 156 pages) : illustrations
Item Number 10.1007/979-8-8688-0017-7 doi
Call Number Q335
Dewey Decimal Classification 006.3
Summary This book will teach you the underlying concepts of large language models (LLMs), as well as the technologies associated with them. The book starts with an introduction to the rise of conversational AIs such as ChatGPT, and how they are related to the broader spectrum of large language models. From there, you will learn about natural language processing (NLP), its core concepts, and how it has led to the rise of LLMs. Next, you will gain insight into transformers and how their characteristics, such as self-attention, enhance the capabilities of language modeling, along with the unique capabilities of LLMs. The book concludes with an exploration of the architectures of various LLMs and the opportunities presented by their ever-increasing capabilities -- as well as the dangers of their misuse. After completing this book, you will have a thorough understanding of LLMs and will be ready to take your first steps in implementing them into your own projects. You will: Grasp the underlying concepts of LLMs Gain insight into how the concepts and approaches of NLP have evolved over the years Understand transformer models and attention mechanisms Explore different types of LLMs and their applications Understand the architectures of popular LLMs Delve into misconceptions and concerns about LLMs, as well as how to best utilize them.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed December 6, 2023).
Available in Other Form Print version: 9798868800160
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Chapter 1: Introduction
Chapter 2: NLP Through the Ages
Chapter 3: Transformers
Chapter 4: What Makes LLMs Large?
Chapter 5: Popular LLMs
Chapter 6: Threats, Opportunities, and Misconceptions.

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