Understanding Large Language Models: Learning Their Underlying Concepts and Technologies (Record no. 2289)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 01218nam a22001577a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240701101847.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240701b |||||||| |||| 00| 0 eng d |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.3 |
Item number | AMA |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Thimira Amaratunga |
245 ## - TITLE STATEMENT | |
Title | Understanding Large Language Models: Learning Their Underlying Concepts and Technologies |
Statement of responsibility, etc. | Amaratunga Thimira |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | SriLanka |
Name of publisher, distributor, etc. | Apress |
Date of publication, distribution, etc. | 2023 |
300 ## - PHYSICAL DESCRIPTION | |
Page number | 156 |
505 ## - FORMATTED CONTENTS NOTE | |
Title | NLP Through Ages<br/>Transformers<br/>What Makes LLMs Large<br/>Popular LLMs<br/>Threats, Opportunities and Misconceptions |
520 ## - SUMMARY, ETC. | |
Summary, etc. | 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. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Books |
952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
-- | 6730 |
952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
-- | 6731 |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Inventory number | Total Checkouts | Full call number | Barcode | Checked out | Date last seen | Date last checked out | Cost, replacement price | Price effective from | Currency | Koha item type | Total Renewals |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dewey Decimal Classification | Not For Loan | Non-fiction | IIITDM Kurnool | IIITDM Kurnool | Reference | 01.07.2024 | CBS Publisher & Distributers | 44.99 | COR/IN/25/2319 DT 15-06-2024 | 1 | 006.3 AMA | 0005770 | 24.08.2024 | 26.07.2024 | 26.07.2024 | 44.99 | 01.07.2024 | EURO | Reference | ||||
Dewey Decimal Classification | Non-fiction | IIITDM Kurnool | IIITDM Kurnool | COMPUTER SCIENCE ENGINEERING | 01.07.2024 | CBS Publisher & Distributers | 44.99 | COR/IN/25/2319 DT 15-06-2024 | 4 | 006.3 AMA | 0005771 | 20.01.2025 | 21.11.2024 | 21.11.2024 | 44.99 | 01.07.2024 | EURO | Books | 2 |