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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 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Building LLMs for production :Louis-François Bouchard, Louie Peters & the Towards AI team.
Reminder of title:	enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG /
remainder title:	Enhancing LLM abilities and reliability with prompting, fine-tuning, and RAG
Author:	Bouchard, Louis-François,
other author:	Peters, Louie,
Published:	[New York, NY] :Towards AI,2024.
Description:	vi, 435 p. :ill., charts ;25 cm.
Subject:	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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003 OCoLC
005 20250620035339.0
008 250818s2024 nyuad b 000 0 eng d
020 $a 9798324731472 (pbk.) : $c NT$2515
035 $a (OCoLC)1443069902
035 $a on1443069902
040 $a YDX $b eng $c YDX $d IUL $d OCLCO
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