0
0

Your cart is empty

Welcome to Takshila Online Book Store !

AI Engineering: Building Applications with Foundation Models - Image 1

AI Engineering: Building Applications with Foundation Models

Author: Chip Huyen | Publisher: O'Reilly | ISBN: 1098166302 | ISBN-13: 9781098166304

$50 $80 (-38%)

Status: In-stock

Condition: New
Author: Chip Huyen
ISBN-13: 9781098166304
ISBN-10: 1098166302
Type: Paperback
Language: English
Item Weight: 0.84 Kg
Dimensions: 17.78 x 2.74 x 23.34 cm inches
Special Offer - Save 38%

0 Already Sold

AI Engineering: Building Applications with Foundation Models
<p>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. 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. 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.</p><p style="box-sizing: border-box; padding: 0px; margin: 0px 0px 14px; color: rgb(15, 17, 17); font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;"><span style="box-sizing: border-box;">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.</span></p><p style="box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;"><span style="box-sizing: border-box;">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.</span></p><p style="box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;"><span style="box-sizing: border-box;">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.</span></p>
Title AI Engineering: Building Applications with Foundation Models
Author Chip Huyen
ISBN 1098166302
Publisher O&#039;Reilly
Publication Date 0000-00-00
Pages 532
Language English
Condition new
Format paperback

0 reviews for AI Engineering: Building Applications with Foundation Models

No reviews yet. Be the first to review this book!

Add a review