AI_Engineering:_Building_Applications_with_Foundation_Models
AI_Engineering:_Building_Applications_with_Foundation_Models
AI_Engineering:_Building_Applications_with_Foundation_Models__undefined__undefined
AI Engineering: Building Applications with Foundation Models

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size

17.53 x 2.79 x 22.86 cm

Product Information

Genre

Analysis & Strategy

Author Name

Chip Huyen

About Author

Chip Huyen is a co-founder of Claypot AI, a platform for real-time machine learning. Through her work at NVIDIA, Netflix, and Snorkel AI, she has helped some of the world's largest organizations develop and deploy machine learning systems. She teaches CS 329S: Machine Learning Systems Design at Stanford, whose lecture notes this book is based on. LinkedIn included her among Top Voices in Software Development (2019) and Top Voices in Data Science & AI (2020). She is also the author of four bestselling Vietnamese books, including the series Xach ba lo len va Di (Pack Your Bag and Go). She also runs a Discord server on MLOps with over 6,000 members

ISBN Code

978-1098166304 (ISBN Code)

Material

Paperback

Ideal for

Unisex

Number Of Pages

532 pages

Country Of Origin

India

Pack Of

1

Product Description

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.