AI Engineering: (Record no. 233988)

MARC details
000 -LEADER
fixed length control field 03106nam a22002417a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250325044454.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250325b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355426666
040 ## - CATALOGING SOURCE
Transcribing agency AL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 001.535
Item number HUYA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Chip Huyen
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 206803
245 ## - TITLE STATEMENT
Title AI Engineering:
Remainder of title Building Applications with Foundation Models
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Navi Mumbai
Name of publisher, distributor, etc. Shroff Publishers & Distributors Pvt Ltd
Date of publication, distribution, etc. 2025
300 ## - PHYSICAL DESCRIPTION
Extent xxi,509p.
Other physical details PB
Dimensions 23x18cm.
365 ## - TRADE PRICE
Source of price type code Computer Apllications & Animation
Price type code BLR8-410476
Price amount 2500.00
Currency code
Unit of pricing 2500.00
Price note 0
Price effective from 19-03-2025
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/>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/>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/>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.<br/>AI Engineering builds upon and is complementary to Designing Machine Learning Systems (O'Reilly).
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence
9 (RLIN) 206790
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Evaluation Methodology
9 (RLIN) 206791
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element RAG and Agents
9 (RLIN) 206792
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Oreilly
9 (RLIN) 206800
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Computer Applications & Animation St Aloysius Library St Aloysius Library 03/24/2025 Amazon 2500.00   001.535 HUYA 077605 03/25/2025 2500.00 03/25/2025 Book