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AI engineering :building applications with foundation models /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	AI engineering :Chip Huyen.
Reminder of title:	building applications with foundation models /
remainder title:	Artificial intelligence engineering
Author:	Huyen, Chip,
Published:	Sebastopol, CA :O'Reilly Media,2024.
Description:	xxi, 509 p. :col. ill. ;24 cm.
Subject:	Generative programming (Computer science)
ISBN:	9781098166304 (pbk.) :

AI engineering :building applications with foundation models /
Huyen, Chip,

AI engineering :building applications with foundation models /Artificial intelligence engineeringChip Huyen. - 1st ed. - Sebastopol, CA :O'Reilly Media,2024. - xxi, 509 p. :col. ill. ;24 cm.

Includes bibliographical references and index.

Introduction to building AI applications with foundation models -- Understanding foundation models -- Evaluation methodology -- Evaluate AI systems -- Prompt engineering -- RAG and agents -- Finetuning -- Dataset engineering -- Inference optimization -- AI engineering architecture and user feedback.

"This book provides a framework for adapting foundation models, which include both large language models (LLMs) and large multimodel models (LMMs), to specific applications" -- page xii.

ISBN: 9781098166304 (pbk.) :NT$2303Subjects--Topical Terms:

189324
Generative programming (Computer science)

LC Class. No.: QA76.758 / H89 2024

Dewey Class. No.: 005.111

AI engineering :building applications with foundation models /
LDR:02070cam a2200277 a 4500 001 675781
003 OCoLC
005 20250620033415.0
008 250818s2024 caua b 001 0 eng d
020 $a 9781098166304 (pbk.) : $c NT$2303
020 $a 1098166302 (pbk.)
035 $a (OCoLC)1464669778
035 $a on1464669778
040 $a IG# $b eng $c IG# $d COO $d IND $d JRZ $d OCLCO $d AUXAM $d ORE $d JOZ
050 4 $a QA76.758 $b H89 2024
082 0 4 $a 005.111 $2 23
082 0 4 $a 006.35 $2 23
100 1 $a Huyen, Chip, $e author. $3 989536
245 1 0 $a AI engineering : $b building applications with foundation models / $c Chip Huyen.
246 3 $a Artificial intelligence engineering
250 $a 1st ed.
260 $a Sebastopol, CA : $b O'Reilly Media, $c 2024.
300 $a xxi, 509 p. : $b col. ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 $a Introduction to building AI applications with foundation models -- Understanding foundation models -- Evaluation methodology -- Evaluate AI systems -- Prompt engineering -- RAG and agents -- Finetuning -- Dataset engineering -- Inference optimization -- AI engineering architecture and user feedback.
520 $a "This book provides a framework for adapting foundation models, which include both large language models (LLMs) and large multimodel models (LMMs), to specific applications" -- page xii.
520 $a "Foundation models have enabled many new AI use cases while lowering the barriers to entry for building AI products. This has transformed AI from an esoteric discipline into a powerful development tool that anyone can use -- including those with no prior AI experience. In this accessible guide, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models, datasets, evaluation benchmarks, and the seemingly infinite number of application patterns. The book also introduces a practical framework for developing an AI application and efficiently deploying it" --Back cover.
650 0 $a Generative programming (Computer science) $3 189324
650 0 $a Natural language generation (Computer science) $3 900186
650 0 $a Artificial intelligence $x Engineering applications. $3 559245
650 0 $a Software engineering. $3 184729
650 0 $a Artificial intelligence $x Technological innovations. $3 558121
650 0 $a Application software $x Development. $3 189413
650 0 $a Machine learning. $3 188639
776 0 8 $i Online version: $a Huyen, Chip. $t AI engineering. $d Sebastopol, CA : O'Reilly Media, Inc., 2024 $z 9781098166274 $w (OCoLC)1476941278