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Building LLMs for production :enhanc...

Bouchard, Louis-François, (1995-)

Building LLMs for production :enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Building LLMs for production :Louis-François Bouchard, Louie Peters & the Towards AI team.
其他題名:	enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG /
其他題名:	Enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG
作者:	Bouchard, Louis-François,
其他作者:	Peters, Louie,
出版者:	[New York, NY] :Towards AI,2024.
面頁冊數:	vi, 435 p. :ill., charts ;25 cm.
標題:	Natural language processing (Computer science)
ISBN:	9798324731472 (pbk.) :

Building LLMs for production :enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG /
Bouchard, Louis-François,1995-

Building LLMs for production :enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG /Enhancing LLM abilities and reliability with prompting, fine-tuning, and RAGLouis-François Bouchard, Louie Peters & the Towards AI team. - 1st ed. - [New York, NY] :Towards AI,2024. - vi, 435 p. :ill., charts ;25 cm.

Includes bibliographical references (p. 434).

Introduction to LLMs --Introduction --

"With amazing feedback from industry leaders, this book is an end-to-end resource for anyone looking to enhance their skills or dive into the world of AI and develop their understanding of Generative AI and Large Language Models (LLMs). It explores various methods to adapt "foundational" LLMs to specific use cases with enhanced accuracy, reliability, and scalability. Written by over 10 people on our Team at Towards AI and curated by experts from Activeloop, LlamaIndex, Mila, and more, it is a roadmap to the tech stack of the future. The book aims to guide developers through creating LLM products ready for production, leveraging the potential of AI across various industries. It is tailored for readers with an intermediate knowledge of Python."--

ISBN: 9798324731472 (pbk.) :NT$2515Subjects--Topical Terms:

200539
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38 / B683 2024

Building LLMs for production :enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG /
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020 $a 9798324731472 (pbk.) : $c NT$2515
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050 4 $a QA76.9.N38 $b B683 2024
100 1 $a Bouchard, Louis-François, $d 1995- $e author. $3 989565
245 1 0 $a Building LLMs for production : $b enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG / $c Louis-François Bouchard, Louie Peters & the Towards AI team.
246 3 0 $a Enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG
250 $a 1st ed.
260 $a [New York, NY] : $b Towards AI, $c 2024.
300 $a vi, 435 p. : $b ill., charts ; $c 25 cm.
504 $a Includes bibliographical references (p. 434).
505 0 0 $g Introduction -- $t Introduction to LLMs -- $t LLM architectures and landscape -- $t LLMs in practice -- $t Introduction to prompting -- $t Introduction to LangChain & LlamaIndex -- $t Prompting with LangChain -- $t Retrieval-augmented generation -- $t Advanced RAG -- $t Agents -- $t Fine-tuning -- $t Deployment.
520 3 $a "With amazing feedback from industry leaders, this book is an end-to-end resource for anyone looking to enhance their skills or dive into the world of AI and develop their understanding of Generative AI and Large Language Models (LLMs). It explores various methods to adapt "foundational" LLMs to specific use cases with enhanced accuracy, reliability, and scalability. Written by over 10 people on our Team at Towards AI and curated by experts from Activeloop, LlamaIndex, Mila, and more, it is a roadmap to the tech stack of the future. The book aims to guide developers through creating LLM products ready for production, leveraging the potential of AI across various industries. It is tailored for readers with an intermediate knowledge of Python."-- $c Provided by publisher.
650 0 $a Natural language processing (Computer science) $3 200539
650 0 $a Artificial intelligence. $3 194058
700 1 $a Peters, Louie, $e author. $3 989566