building applications with foundation models Huyen, Chip creator text Navi Mumbai Shroff Publishers & Distributors PVT. LTD. 2025 monographic eng

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xi, 497p. "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. "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. 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. Chip Huyen Includes bibliographical references and index. Generative programming (Computer science) Natural language generation (Computer science) Artificial intelligence Software engineering Engineering applications Machine learning Programmation générative Génération automatique de texte Intelligence artificielle Apprentissage automatique Handbooks and manuals 005.11 T25 HUY 9789355426666 260506 20260506170351.0