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.
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