AI Engineering: (Record no. 2135)

MARC details
000 -LEADER
fixed length control field 02789nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250204155658.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-1098166304
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1098166302
040 ## - CATALOGING SOURCE
Transcribing agency 0
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC)
Edition number 0
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Huyen, Chip
245 ## - TITLE STATEMENT
Title AI Engineering:
Remainder of title Building Applications with Foundation Models
Statement of responsibility, etc. by Chip Huyen (Author)
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. O'Reilly Media
Date of publication, distribution, etc. 2025
300 ## - PHYSICAL DESCRIPTION
Extent 532 pages
Dimensions 23 cm
500 ## - GENERAL NOTE
General note January 7, 2025
520 ## - SUMMARY, ETC.
Summary, etc. Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.<br/><br/>The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach.<br/><br/>AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications.<br/><br/>Understand what AI engineering is and how it differs from traditional machine learning engineering<br/>Learn the process for developing an AI application, the challenges at each step, and approaches to address them<br/>Explore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they work<br/>Examine the bottlenecks for latency and cost when serving foundation models and learn how to overcome them<br/>Choose the right model, dataset, evaluation benchmarks, and metrics for your needs<br/>Chip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. She's the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI.
887 ## - NON-MARC INFORMATION FIELD
Source of data CamTech Library
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Date last checked out Copy number Price effective from Koha item type Date due
    Dewey Decimal Classification     CamTech Library CamTech Library FaE's Corner, Faculty of Engineering 02/04/2025 1 006.8 HUY 0000002575 02/11/2025 02/11/2025 C.1 02/04/2025 Books  
    Dewey Decimal Classification     CamTech Library CamTech Library FaE's Corner, Faculty of Engineering 02/04/2025 1 006.8 HUY 0000002605 02/04/2025 02/04/2025 C.2 02/04/2025 Books 02/18/2025