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Demystifying large language models : Unraveling the mysteries of language transformer models, build from ground up, pre-train, fine-tune and deployment

紀錄類型:	書目-語言資料,印刷品 : 單行本
副題名:	Unraveling the mysteries of language transformer models, build from ground up, pre-train, fine-tune and deployment
作者:	ChenJames.,
出版地:	[La Vergne, TN]
出版者:	James Chen;
出版年:	2024
面頁冊數:	339 p.ill. : 24 cm;
標題:	Natural language generation (Computer science) -
ISBN:	9781738908479

Demystifying large language models : Unraveling the mysteries of language transformer models, build from ground up, pre-train, fine-tune and deployment
Chen, James.

Demystifying large language models : Unraveling the mysteries of language transformer models, build from ground up, pre-train, fine-tune and deployment / James Chen. - [La Vergne, TN] : James Chen, 2024. - 339 p. ; ill. ; 24 cm.
Includes bibliographical references and index..
ISBN 9781738908479ISBN 9781738908486
Natural language generation (Computer science)

Demystifying large language models : Unraveling the mysteries of language transformer models, build from ground up, pre-train, fine-tune and deployment
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320 $a This book is a comprehensive guide aiming to demystify the world of transformers -- the architecture that powers Large Language Models (LLMs) like GPT and BERT. From PyTorch basics and mathematical foundations to implementing a Transformer from scratch, you'll gain a deep understanding of the inner workings of these models.
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