Picture 1 of 1

Hundred-Page Language Models Book by Andriy Burkov (2025, Trade Paperback)

Great Book Prices Store (351818)

97.5% positive feedback

Price:

$50.85

Free shipping

Estimated delivery Wed, Oct 22 - Tue, Oct 28

Returns:

14 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.

Condition:

Brand New

UNKNOWN by Unknown, Unknown, ISBN 1778042724, ISBN-13 9781778042720, Brand New, Free shipping in the US

About this product

Product Identifiers

PublisherBurkov, Andriy

ISBN-101778042724

ISBN-139781778042720

eBay Product ID (ePID)26076826099

Product Key Features

Number of Pages158 Pages

LanguageEnglish

Publication NameHundred-Page Language Models Book

Publication Year2025

SubjectNatural Language Processing

TypeTextbook

AuthorAndriy Burkov

Subject AreaComputers

FormatTrade Paperback

Dimensions

Item Height0.4 in

Item Weight13.6 Oz

Item Length9.2 in

Item Width7.5 in

Additional Product Features

Intended AudienceTrade

TitleLeadingThe

Dewey Edition23

Dewey Decimal006.31

SynopsisMaster language models through mathematics, illustrations, and codeand build your own from scratch! The Hundred-Page Language Models Book by Andriy Burkov, the follow-up to his bestselling The Hundred-Page Machine Learning Book (now in 12 languages), offers a concise yet thorough journey from language modeling fundamentals to the cutting edge of modern Large Language Models (LLMs). Within Andriy's famous "hundred-page" format, readers will master both theoretical concepts and practical implementations, making it an invaluable resource for developers, data scientists, and machine learning engineers. The Hundred-Page Language Models Book allows you to: - Master the mathematical foundations of modern machine learning and neural networks - Build and train three architectures of language models in Python - Understand and code a Transformer language model from scratch in PyTorch - Work with LLMs, including instruction finetuning and prompt engineering Written in a hands-on style with working Python code examples, this book progressively builds your understanding from basic machine learning concepts to advanced language model architectures. All code examples run on Google Colab, making it accessible to anyone with a modern laptop. Endorsements Vint Cerf, Internet pioneer and Turing Award recipient: "This book cleared up a lot of conceptual confusion for me about how Machine Learning actually works - it is a gem of clarity." Tomás Mikolov, the author of word2vec and FastText: "The book is a good start for anyone new to language modeling who aspires to improve on state of the art."