國立虎尾科技大學 |

Understanding large language models = learning their underlying concepts and technologies /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Understanding large language models/ by Thimira Amaratunga.
其他題名:	learning their underlying concepts and technologies /
作者:	Amaratunga, Thimira.
出版者:	Berkeley, CA :Apress : : 2023.,
面頁冊數:	xvii, 156 p. :illustrations, digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/979-8-8688-0017-7
ISBN:	9798868800177

Understanding large language models = learning their underlying concepts and technologies /
Amaratunga, Thimira.

Understanding large language modelslearning their underlying concepts and technologies /[electronic resource] :by Thimira Amaratunga. - Berkeley, CA :Apress :2023. - xvii, 156 p. :illustrations, digital ;24 cm.

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.

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.

ISBN: 9798868800177

Standard No.: 10.1007/979-8-8688-0017-7doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

Understanding large language models = learning their underlying concepts and technologies /
LDR:02576nam a2200325 a 4500 001 1120023
003 DE-He213
005 20231125111924.0
006 m d
007 cr nn 008maaau
008 240612s2023 cau s 0 eng d
020 $a 9798868800177 $q (electronic bk.)
020 $a 9798868800160 $q (paper)
024 7 $a 10.1007/979-8-8688-0017-7 $2 doi
035 $a 979-8-8688-0017-7
040 $a GP $c GP
041 0 $a eng
050 4 $a Q335
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q335 $b .A485 2023
100 1 $a Amaratunga, Thimira. $e author. $3 1355154
245 1 0 $a Understanding large language models $h [electronic resource] : $b learning their underlying concepts and technologies / $c by Thimira Amaratunga.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2023.
300 $a xvii, 156 p. : $b illustrations, digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Natural language processing (Computer science) $3 641811
650 1 4 $a Artificial Intelligence. $3 646849
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/979-8-8688-0017-7
950 $a Professional and Applied Computing (SpringerNature-12059)