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Build a large language model (from scratch) /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Build a large language model (from scratch) /Sebastian Raschka.
作者:	Raschka, Sebastian,
出版者:	Shelter Island, NY :Manning,c2025.
面頁冊數:	xx, 343 p. :ill. ;24 cm.
標題:	Artificial intelligence.
ISBN:	9781633437166 (pbk.) :

Build a large language model (from scratch) /
Raschka, Sebastian,

Build a large language model (from scratch) /Sebastian Raschka. - Shelter Island, NY :Manning,c2025. - xx, 343 p. :ill. ;24 cm. - From scratch. - From scratch (Manning Publications).

Includes bibliographical references (p. 289-299) and index.

Understanding large language models -- Working with text data -- Coding attention mechanisms -- Implementing a GPT model from scratch to generate text -- Pretraining on unlabeled data -- Fine-tuning for classification -- Fine-tuning to follow instructions -- Introduction to PyTorch -- References and further reading -- Exercise solutions -- Adding bells and whistles to the training loop -- Parameter-efficient fine-tuning with LoRA.

"Physicist Richard P. Feynman reportedly said, "I don't understand anything I can't build." Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning. Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself! Build a Large Language Model (from Scratch) teaches you how to: Plan and code all the parts of an LLM; Prepare a dataset suitable for LLM training; Fine-tune LLMs for text classification and with your own data; Use human feedback to ensure your LLM follows instructions; Load pretrained weights into an LLM" --Back cover.

ISBN: 9781633437166 (pbk.) :NT$1727

LCCN: 2024409029Subjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: QA76.9.N38 / R37 2025

Dewey Class. No.: 006.3

Build a large language model (from scratch) /
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245 1 0 $a Build a large language model (from scratch) / $c Sebastian Raschka.
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300 $a xx, 343 p. : $b ill. ; $c 24 cm.
490 1 $a From scratch
504 $a Includes bibliographical references (p. 289-299) and index.
505 0 $a Understanding large language models -- Working with text data -- Coding attention mechanisms -- Implementing a GPT model from scratch to generate text -- Pretraining on unlabeled data -- Fine-tuning for classification -- Fine-tuning to follow instructions -- Introduction to PyTorch -- References and further reading -- Exercise solutions -- Adding bells and whistles to the training loop -- Parameter-efficient fine-tuning with LoRA.
520 $a "Physicist Richard P. Feynman reportedly said, "I don't understand anything I can't build." Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning. Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself! Build a Large Language Model (from Scratch) teaches you how to: Plan and code all the parts of an LLM; Prepare a dataset suitable for LLM training; Fine-tune LLMs for text classification and with your own data; Use human feedback to ensure your LLM follows instructions; Load pretrained weights into an LLM" --Back cover.
650 0 $a Artificial intelligence. $3 194058
650 0 $a Natural language processing (Computer science) $3 200539
830 0 $a From scratch (Manning Publications) $3 989554