About the Book
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 analysisPurchase of the print or Kindle book includes a free PDF eBook
Book DescriptionLearn 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 code generation and 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
Implement DeepSeek for coding, document understanding, and creative ideation
Compare DeepSeek's multimodal features with leading models
Consume DeepSeek via the official API, Ollama, and llama.cpp
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 forAI 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:
Table of Contents
What is DeepSeek?
Deep Dive into DeepSeek
Using DeepSeek: Case Studies
Prompting DeepSeek
Building with DeepSeek
Agents with DeepSeek
Using DeepSeek for legal clauses to Finetune Gemma 3
Deploying DeepSeek Models
About the Author :
Andy Peng, a builder with curiosity, motivated by research and product innovation. He has led both 0-to-1 and 10x scaling across areas like LLM inference and optimizations on AWS Bedrock, state-of-the-art models (Claude, LLaMA, DeepSeek), foundational data service (Amazon S3), serverless compute (App Runner, Fargate), conversational AI (Alexa Healthcare), fintech, etc. He is committed to research and open-source, serving on program committees for ICML, NeurIPS, and NPOs like the Linux Foundation and CNCF (as Ambassador). He is also a mentor and guest lecturer at the University of Washington. Alex Strick van Linschoten is a Machine Learning Engineer at ZenML. He led the development of the LLMOps database, a comprehensive collection of over 800 case studies examining LLMOps and GenAI implementations in production environments. His work focuses on bridging the gap between machine learning research and production deployment, particularly for the LLMOps space. He transitioned to software engineering after earning a PhD in History and spending 15 years living and working as a historian and researcher in Afghanistan. He has authored, edited and translate several books based on his historical research and is based in Delft, the Netherlands. Duarte Carmo is a technologist, born and raised in sunny Lisbon, now based in Copenhagen. His work lies in the intersection of Machine Learning & AI, Data, Software, and People. He is in love with Technology, and how it can improve people's lives.
In the past, he has worked in Consumer Electronics, Public Institutions, Big Three Management Consulting, and YC-backed startups. The common thread? Solving hard problems end-to-end.
His work is greatly shaped by his background and education. He has studied at the Superior Technical Institute of Lisbon, the Beijing Institute of Technology, and the Technical University of Denmark.
When he is not solving hard problems, you can find him geeking out about new gadgets, writing code, reading, taking photos, or running.
