Ollama in Practice: Foundations & Essentials: Install, Run, and Customize Local LLMs with Ollama - Build Your Own AI Locally
暫譯: Ollama 實務：基礎與要點：安裝、運行及自訂本地 LLM 與 Ollama - 在本地構建您的 AI

Unlock the power of local AI with Ollama in Practice: Foundations & Essentials. This practical guide shows engineers, developers, and ambitious creators how to install Ollama, run open-weight language models locally, and shape them into private, dependable assistants. You'll move from first-run verifications to building real integrations: author Modelfiles that define model behavior, call the local REST API from Python and Node, and design retrieval pipelines that keep context tight and outputs reliable.

Packed with hands-on examples, pragmatic troubleshooting, and performance tips (quantization, warm-up, batching), this book prioritizes safety, reproducibility, and fast iteration. Learn to measure latency, choose the right model family, and deploy prototypes that keep data on your hardware. If you want to own your AI stack-build privately, iterate quickly, and ship confidently-this is the concise, no-fluff manual you need.