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AI Engineering: Building Applications with Foundation Models
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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.
© 2025 Ascent Audio (Lydbog): 9781663753045
Udgivelsesdato
Lydbog: 17. juni 2025
Bøger, der ligner AI Engineering: Building Applications with Foundation Models
- Building AI-Powered Products: The Essential Guide to AI and GenAI Product Management Dr. Marily Nika
- Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications Chip Huyen
- The Innovator's Solution, with a New Foreword: Creating and Sustaining Successful Growth Clayton M. Christensen, Michael E. Raynor
- Pattern Breakers: The Secrets Behind the World's Most Successful Start-Ups Mike Maples Jr, Peter Ziebelman
- The Skill Code: How to Save Human Ability in an Age of Intelligent Machines Matt Beane
- Hackers & Painters: Big Ideas from the Computer Age Paul Graham
- Fundamentals of Software Architecture: An Engineering Approach Neal Ford, Mark Richards
- AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence Gary Rivlin
- All-in On AI: How Smart Companies Win Big with Artificial Intelligence Tom Davenport, Nitin Mittal
- The Geek Way: The Radical Mindset That Drives Extraordinary Results Andrew McAfee
- How Innovation Works: And Why It Flourishes in Freedom Matt Ridley
- Power and Prediction: The Disruptive Economics of Artificial Intelligence Joshua Gans, Ajay Agrawal, Avi Goldfarb
- The New Science of Momentum: How the Best Coaches and Leaders Build a Fire from a Single Spark Don Yaeger, Bernie Banks
- Human + Machine, Updated and Expanded: Reimagining Work in the Age of AI H. James Wilson, Paul R. Daugherty
- The Boston Consulting Group on Strategy: Classic Concepts and New Perspectives Michael S. Deimler, Carl W. Stern
- Big Bets: How Large-Scale Change Really Happens Rajiv Shah
- DeFi and the Future of Finance Campbell R. Harvey, Ashwin Ramachandran, Joey Santoro
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann
- The Truth About Crypto: A Practical, Easy-to-Understand Guide to Bitcoin, Blockchain, NFTs, and Other Digital Assets Ric Edelman
- The Third Wave: An Entrepreneur's Vision of the Future Steve Case
- AI at the Edge: Solving Real-World Problems with Embedded Machine Learning Jenny Plunkett, Daniel Situnayake
- The Code Breaker -- Young Readers Edition: Jennifer Doudna and the Race to Understand Our Genetic Code Walter Isaacson
- The Year in Tech, 2021: The Insights You Need from Harvard Business Review Harvard Business Review
- Misbelief: What Makes Rational People Believe Irrational Things Dan Ariely
- Between You and AI: Unlock the Power of Human Skills to Thrive in an AI-Driven World Andrea Iorio
- Average Joe: Be the Silicon Valley Tech Genius Shawn Livermore
- Six Thinking Hats Edward De Bono
- The Four Pillars of Investing, Second Edition: Lessons for Building a Winning Portfolio William J. Bernstein
- Software Engineering at Google: Lessons Learned from Programming Over Time Tom Manshreck, Hyrum Wright, Titus Winters
- Competitive Advantage: Creating and Sustaining Superior Performance Michael E. Porter
- How Things Are Made: A Journey Through the Hidden World of Manufacturing Tim Minshall
- The Innovator's DNA, Updated, with a New Preface: Mastering the Five Skills of Disruptive Innovators Clayton M. Christensen, Hal Gregersen, Jeff Dyer
- Money in One Lesson: How it Works and Why Gavin Jackson
- My Life as a Quant: Reflections on Physics and Finance Emanuel Derman
- Creative Selection: Inside Apple's Design Process During the Golden Age of Steve Jobs Ken Kocienda
- Who Says Elephants Can't Dance?: Inside IBM's Historic Turnaround Louis V. Gerstner
- Cracked It!: How to Solve Big Problems and Sell Solutions Like Top Strategy Consultants Olivier Sibony, Bernard Garrette, Corey Phelps
- Extraordinary Popular Delusions and the Madness of Crowds and Confusion de Confusiones Martin S. Fridson
- Rewired: The McKinsey Guide to Outcompeting in the Age of Digital and AI Rodney Zemmel, Eric Lamarre, Kate Smaje
- Competitive Strategy: Techniques for Analyzing Industries and Competitors Michael E. Porter
- Clean Architecture: A Craftsman's Guide to Software Structure and Design Robert C. Martin
- The Investment Checklist: The Art of In-Depth Research Michael Shearn
- Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World Karim R. Lakhani, Marco Iansiti
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