{"title":"Chip Huyen","description":"\u003cp\u003eChip Huyen's works delve into the cutting-edge realm of artificial intelligence and its practical applications. Readers can explore thoughtful insights into AI engineering, combining theoretical knowledge with hands-on techniques.\u003c\/p\u003e\n\n\u003cp\u003eIdeal for those interested in computing and technology, these books offer clear guidance on designing and deploying AI systems, making complex concepts accessible without sacrificing depth.\u003c\/p\u003e","products":[{"product_id":"ai-engineering-by-chip-huyen-9781098166304","title":"AI Engineering","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eRecent 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.\u003c\/p\u003e\n\n\u003cp\u003eThe 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.\u003c\/p\u003e\n\n\u003cp\u003eAI 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.\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eUnderstand what AI engineering is and how it differs from traditional machine learning engineering.\u003c\/li\u003e\n    \u003cli\u003eLearn the process for developing an AI application, the challenges at each step, and approaches to address them.\u003c\/li\u003e\n    \u003cli\u003eExplore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they work.\u003c\/li\u003e\n    \u003cli\u003eExamine the bottlenecks for latency and cost when serving foundation models and learn how to overcome them.\u003c\/li\u003e\n    \u003cli\u003eChoose the right model, dataset, evaluation benchmarks, and metrics for your needs.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eChip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. She's the author of the book \u003cem\u003eDesigning Machine Learning Systems\u003c\/em\u003e, an Amazon bestseller in AI.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eAI Engineering\u003c\/em\u003e builds upon and is complementary to \u003cem\u003eDesigning Machine Learning Systems\u003c\/em\u003e (O'Reilly).\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47397691588844,"sku":"9781098166304","price":159.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/27296423482578.jpg?v=1773720467"},{"product_id":"designing-machine-learning-systems-by-chip-huyen-9781098107963","title":"Designing Machine Learning Systems","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eMachine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In \u003cem\u003eDesigning Machine Learning Systems\u003c\/em\u003e, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.\u003c\/p\u003e\n\n\u003cp\u003eAuthor Chip Huyen, co-founder of Claypot AI, considers each design decision—such as how to process and create training data, which features to use, how often to retrain models, and what to monitor—in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.\u003c\/p\u003e\n\n\u003cp\u003eThis book will help you tackle scenarios such as:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eEngineering data and choosing the right metrics to solve a business problem\u003c\/li\u003e\n  \u003cli\u003eAutomating the process for continually developing, evaluating, deploying, and updating models\u003c\/li\u003e\n  \u003cli\u003eDeveloping a monitoring system to quickly detect and address issues your models might encounter in production\u003c\/li\u003e\n  \u003cli\u003eArchitecting an ML platform that serves across use cases\u003c\/li\u003e\n  \u003cli\u003eDeveloping responsible ML systems\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47397808603372,"sku":"9781098107963","price":134.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/49d6f1a706719ea14ca2d94cc17c108b.jpg?v=1773778445"}],"url":"https:\/\/bookhero.co.nz\/collections\/chip-huyen.oembed","provider":"Book Hero","version":"1.0","type":"link"}