AI Engineering
Building Applications
with Foundation Models
Chip Huyen
, “This book offers a comprehensive, well-structured guide to the essential
aspects of building generative AI systems. A must-read for any professional
looking to scale AI across the enterprise.”
Vittorio Cretella, former global CIO at P&G and Mars
“Chip Huyen gets generative AI. She is a remarkable teacher and writer
whose work has been instrumental in helping teams bring AI into production.
Drawing on her deep expertise, AI Engineering is a comprehensive and
holistic guide to building generative AI applications in production.”
Luke Metz, cocreator of ChatGPT, former research manager at OpenAI
AI Engineering
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. AI application developers will discover how to navigate
the AI landscape, including 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.
• Understand what AI engineering is and how it differs Chip Huyen works at the intersection
from traditional machine learning engineering of AI, data, and storytelling. Previously,
• Learn the process for developing an AI application, the she was with Snorkel AI and NVIDIA,
challenges at each step, and approaches to address them founded an AI infrastructure startup
(acquired), and taught machine
• Explore various model adaptation techniques, including learning systems design at Stanford.
prompt engineering, RAG, finetuning, agents, and dataset Her book Designing Machine
engineering, and understand how and why they work Learning Systems (O’Reilly) has been
• Examine the bottlenecks for latency and cost when serving translated into over 10 languages.
foundation models and learn how to overcome them
• Choose the right model, metrics, data, and developmental
patterns for your needs
DATA
US $79.99 CAN $99.99
ISBN: 978-1-098-16630-4
57999
9 781098 166304
, Praise for AI Engineering
This book offers a comprehensive, well-structured guide to the essential
aspects of building generative AI systems. A must-read for any
professional looking to scale AI across the enterprise.
—Vittorio Cretella, former global CIO, P&G and Mars
Chip Huyen gets generative AI. On top of that, she is a remarkable teacher and writer
whose work has been instrumental in helping teams bring AI into production.
Drawing on her deep expertise, AI Engineering serves as a comprehensive
and holistic guide, masterfully detailing everything required to
design and deploy generative AI applications in production.
—Luke Metz, cocreator of ChatGPT,
former research manager at OpenAI
Every AI engineer building real-world applications should read this book. It’s a
vital guide to end-to-end AI system design, from model development
and evaluation to large-scale deployment and operation.
—Andrei Lopatenko, Director Search and AI, Neuron7
This book serves as an essential guide for building AI products that can scale.
Unlike other books that focus on tools or current trends that are constantly
changing, Chip delivers timeless foundational knowledge. Whether you’re
a product manager or an engineer, this book effectively bridges the
collaboration gap between cross-functional teams, making it
a must-read for anyone involved in AI development.
—Aileen Bui, AI Product Operations Manager, Google
, This is the definitive segue into AI engineering from one of the greats of ML engineering!
Chip has seen through successful projects and careers at every stage of a company and
for the first time ever condensed her expertise for new AI Engineers entering the field.
—swyx, Curator, AI.Engineer
AI Engineering is a practical guide that provides the most up-to-date information on AI
development, making it approachable for novice and expert leaders alike. This book
is an essential resource for anyone looking to build robust and scalable AI systems.
—Vicki Reyzelman, Chief AI Solutions Architect, Mave Sparks
AI Engineering is a comprehensive guide that serves as an essential reference
for both understanding and implementing AI systems in practice.
—Han Lee, Director—Data Science, Moody’s
AI Engineering is an essential guide for anyone building software with Generative AI!
It demystifies the technology, highlights the importance of evaluation, and shares
what should be done to achieve quality before starting with costly fine-tuning.
—Rafal Kawala, Senior AI Engineering Director, 16 years of
experience working in a Fortune 500 company
Building Applications
with Foundation Models
Chip Huyen
, “This book offers a comprehensive, well-structured guide to the essential
aspects of building generative AI systems. A must-read for any professional
looking to scale AI across the enterprise.”
Vittorio Cretella, former global CIO at P&G and Mars
“Chip Huyen gets generative AI. She is a remarkable teacher and writer
whose work has been instrumental in helping teams bring AI into production.
Drawing on her deep expertise, AI Engineering is a comprehensive and
holistic guide to building generative AI applications in production.”
Luke Metz, cocreator of ChatGPT, former research manager at OpenAI
AI Engineering
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. AI application developers will discover how to navigate
the AI landscape, including 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.
• Understand what AI engineering is and how it differs Chip Huyen works at the intersection
from traditional machine learning engineering of AI, data, and storytelling. Previously,
• Learn the process for developing an AI application, the she was with Snorkel AI and NVIDIA,
challenges at each step, and approaches to address them founded an AI infrastructure startup
(acquired), and taught machine
• Explore various model adaptation techniques, including learning systems design at Stanford.
prompt engineering, RAG, finetuning, agents, and dataset Her book Designing Machine
engineering, and understand how and why they work Learning Systems (O’Reilly) has been
• Examine the bottlenecks for latency and cost when serving translated into over 10 languages.
foundation models and learn how to overcome them
• Choose the right model, metrics, data, and developmental
patterns for your needs
DATA
US $79.99 CAN $99.99
ISBN: 978-1-098-16630-4
57999
9 781098 166304
, Praise for AI Engineering
This book offers a comprehensive, well-structured guide to the essential
aspects of building generative AI systems. A must-read for any
professional looking to scale AI across the enterprise.
—Vittorio Cretella, former global CIO, P&G and Mars
Chip Huyen gets generative AI. On top of that, she is a remarkable teacher and writer
whose work has been instrumental in helping teams bring AI into production.
Drawing on her deep expertise, AI Engineering serves as a comprehensive
and holistic guide, masterfully detailing everything required to
design and deploy generative AI applications in production.
—Luke Metz, cocreator of ChatGPT,
former research manager at OpenAI
Every AI engineer building real-world applications should read this book. It’s a
vital guide to end-to-end AI system design, from model development
and evaluation to large-scale deployment and operation.
—Andrei Lopatenko, Director Search and AI, Neuron7
This book serves as an essential guide for building AI products that can scale.
Unlike other books that focus on tools or current trends that are constantly
changing, Chip delivers timeless foundational knowledge. Whether you’re
a product manager or an engineer, this book effectively bridges the
collaboration gap between cross-functional teams, making it
a must-read for anyone involved in AI development.
—Aileen Bui, AI Product Operations Manager, Google
, This is the definitive segue into AI engineering from one of the greats of ML engineering!
Chip has seen through successful projects and careers at every stage of a company and
for the first time ever condensed her expertise for new AI Engineers entering the field.
—swyx, Curator, AI.Engineer
AI Engineering is a practical guide that provides the most up-to-date information on AI
development, making it approachable for novice and expert leaders alike. This book
is an essential resource for anyone looking to build robust and scalable AI systems.
—Vicki Reyzelman, Chief AI Solutions Architect, Mave Sparks
AI Engineering is a comprehensive guide that serves as an essential reference
for both understanding and implementing AI systems in practice.
—Han Lee, Director—Data Science, Moody’s
AI Engineering is an essential guide for anyone building software with Generative AI!
It demystifies the technology, highlights the importance of evaluation, and shares
what should be done to achieve quality before starting with costly fine-tuning.
—Rafal Kawala, Senior AI Engineering Director, 16 years of
experience working in a Fortune 500 company
