000 02289nam a22003377a 4500
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020 _a9789355426666
041 _aeng
082 _a005.11
_bT25 HUY
100 _aHuyen, Chip
_917830
245 1 _aAI engineering :
_bbuilding applications with foundation models /
_cChip Huyen
260 _aNavi Mumbai :
_bShroff Publishers & Distributors PVT. LTD.,
_c2025.
300 _axi, 497p.
500 _a Includes bibliographical references and index.
505 _aIntroduction 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 _aGenerative programming (Computer science)
_923245
650 0 _aNatural language generation (Computer science)
_923241
650 0 _aArtificial intelligence
_917220
650 0 _aSoftware engineering
_923243
650 0 _aEngineering applications
_926012
650 0 _aMachine learning.
_922944
650 0 _aProgrammation générative.
_926013
650 4 _aGénération automatique de texte.
_926014
650 4 _aIntelligence artificielle
_926015
650 4 _aApprentissage automatique
_926016
650 4 _a Handbooks and manuals
_926017
942 _cBK
999 _c33446
_d33446