DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM
暫譯: DeepSeek 實務應用：從基礎到微調、蒸餾、代理設計及開源 LLM 的提示工程

Gain hands-on experience building, fine-tuning, and deploying GenAI applications using DeepSeek

Key Features:

- Explore DeepSeek's architecture, training data, and reasoning capabilities

- Build agents, fine-tune with distillation, and deploy with CI/CD pipelines

- Apply DeepSeek to real-world use cases like coding, ideation, and legal analysis

- Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

Learn how to build, fine-tune, and deploy AI systems using DeepSeek, one of the most influential open-source large language models available today. This book guides you through real-world DeepSeek applications-from understanding its core architecture and training foundations to developing reasoning agents and deploying production-ready systems.

Starting with a concise synthesis of DeepSeek's research, breakthroughs, and open-source philosophy, you'll progress to hands-on projects including prompt engineering, workflow design, and rationale distillation. Through detailed case studies-ranging from document understanding to legal clause analysis-you'll see how to use DeepSeek in high-value GenAI scenarios.

You'll also learn to build sophisticated agent workflows and prepare data for fine-tuning. By the end of the book, you'll have the skills to integrate DeepSeek into local deployments, cloud CI/CD pipelines, and custom LLMOps environments.

Written by experts with deep knowledge of open-source LLMs and deployment ecosystems, this book is your comprehensive guide to DeepSeek's capabilities and implementation.

What You Will Learn:

- Discover DeepSeek's unique traits in the LLM landscape

- Compare DeepSeek's multimodal features with leading models

- Consume DeepSeek via the official API, Ollama, and llama.cpp

- Use DeepSeek for coding, document understanding, and creative ideation

- Integrate DeepSeek with third-party platforms like OpenRouter and Cloudflare

- Distill and deploy DeepSeek models into production environments

- Identify when and where to use DeepSeek

- Understand DeepSeek's open philosophy

Who this book is for:

AI engineers, developers, and builders working with open-source LLMs who want to integrate DeepSeek into GenAI applications, agent workflows, or deployment pipelines. Readers should have hands-on experience with Python, APIs, and tools like Ollama or llama.cpp, and a solid understanding of machine learning concepts.

Table of Contents

- What is DeepSeek?

- Deep Dive into DeepSeek

- Prompting DeepSeek

- Using DeepSeek: Case Studies

- Building with DeepSeek

- Agents with DeepSeek

- DeepSeek-Driven Fine-Tuning of Gemma 3 for Legal Reasoning

- Deploying DeepSeek Models