AI Engineering (Full Colour Edition) (Bestseller)

AI Engineering (Full Colour Edition) (Bestseller)All Indian Reprints of O'Reilly are printed in GrayscaleRecent 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

All Indian Reprints of O'Reilly are printed in GrayscaleRecent 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.About the AuthorChip Huyen works in the intersection of AI, data, and storytelling. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup (acquired), worked on GPU optimization for data processing, and taught Machine Learning Systems Design at Stanford. Her last book, Designing Machine Learning Systems, is an Amazon bestseller in AI and has been translated into over 10 languages.