AI工程宝典，搞懂大模型应用的秘籍
宝子们，今天来给大家安利一本超实用的AI工程书！这可不是那种花里胡哨的工具书，而是从根基上帮你搞懂大语言模型（LLMs）和大多模态模型（LMMs）在具体应用中的适配框架。从搭建AI应用的各种方案，到评估应用的优劣，甚至还能用AI来评估AI输出，这本书统统给你答案。比如，怎么检测和减少模型的“幻觉”，怎样用好RAG策略，何时该微调模型，怎样构建持续优化的反馈闭环，这些让人头大的问题都能在这本书里找到思路。而且，它还带你穿梭在眼花缭乱的AI模型类型、评估基准和海量应用场景中，简直就是AI工程师的导航仪。作者凭借过去十年在语言模型和机器学习系统领域的经验，用真实的案例和专家的深度审核，把复杂的知识讲得通俗易懂。这不就是咱搞AI开发的“教科书”嘛，建议收藏！
解答这些问题：
- Should I build this AI application?
- How do I evaluate my application? Can I use AI to evaluate AI outputs?
- What causes hallucinations? How do I detect and mitigate hallucinations?
- What are the best practices for prompt engineering?
- Why does RAG work? What are the strategies for doing RAG?
- What’s an agent? How do I build and evaluate an agent?
- When to finetune a model? When not to finetune a model?
- How much data do I need? How do I validate the quality of my data?
- How do I make my model faster, cheaper, and secure?
- How do I create a feedback loop to improve my application continually?
书评
- "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, co-creator of ChatGPT, ex-research manager @ 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
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