Local Generative AI Engineering
Build, Optimize & Ship AI Systems Locally (LLMs, RAG)
Artificial Intelligence is no longer a distant concept-it is already part of everyday life. Millions of people use AI-powered tools daily. However, while most users know how to interact with AI, very few understand how AI systems are actually built.
Local Generative AI Engineering is written to close this gap.
This book is not about surface-level tutorials or cloud-only shortcuts. Instead, it is a practical, engineering-driven guide that teaches you how to design, build, and deploy real Generative AI systems on your own machine, with clarity, control, and confidence.
Why This Book Exists
Today's learners are surrounded by confusing terminology-Artificial Intelligence, Machine Learning, Deep Learning, Large Language Models, Generative AI, embeddings, vector databases, and RAG systems. Many resources either remain overly theoretical or jump straight into tools without explaining the reasoning behind system design.
As a result, a large implementation gap has emerged.
Many learners:
Know Python
Understand basic AI or ML concepts
Can follow tutorials
Yet struggle when asked to build a system that can:
Understand documents
Retrieve relevant information
Generate accurate, context-aware responses
This book exists to bridge that implementation gap-by focusing on fundamentals, architecture, and hands-on system building.
外文書商品之書封，為出版社提供之樣本。實際出貨商品，以出版社所提供之現有版本為主。部份書籍，因出版社供應狀況特殊，匯率將依實際狀況做調整。
無庫存之商品，在您完成訂單程序之後，將以空運的方式為你下單調貨。為了縮短等待的時間，建議您將外文書與其他商品分開下單，以獲得最快的取貨速度，平均調貨時間為1~2個月。
為了保護您的權益，「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨，請在商品鑑賞期內寄回，且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。
