Huyen, Chip  <br/><br/>
AI engineering :   building applications with foundation models /  
Chip Huyen 
 - Navi Mumbai :   Shroff Publishers & Distributors PVT. LTD.,   2025.  
 - xi, 497p.  
<br/><br/>  Includes bibliographical references and index. 
<br/><br/>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. 
<br/><br/> "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. 
<br/><br/><label>ISBN: </label>9789355426666 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Generative programming (Computer science)<br/>Natural language generation (Computer science)<br/>Artificial intelligence<br/>Software engineering<br/>Engineering applications<br/>Machine learning.<br/>Programmation générative.<br/>Génération automatique de texte.<br/>Intelligence artificielle<br/>Apprentissage automatique<br/> Handbooks and manuals
<br/><br/><label>Dewey Class. No.: </label>005.11   / T25 HUY