DeepSeek in Practice

<p><strong>Gain hands-on experience building fine-tuning and deploying GenAI applications using DeepSeek</strong></p><p><strong>Key Features:</strong></p><p>- Explore DeepSeek's architecture training data and reasoning capabilities</p><p>- Build agents fine-tune with distillation and deploy with CI/CD pipelines</p><p>- Apply DeepSeek to real-world use cases like coding ideation and legal analysis</p><p>- Purchase of the print or Kindle book includes a free PDF eBook</p><p><strong>Book Description:</strong></p><p>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.</p><p>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.</p><p>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.</p><p>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.</p><p><strong>What You Will Learn:</strong></p><p>- Discover DeepSeek's unique traits in the LLM landscape</p><p>- Compare DeepSeek's multimodal features with leading models</p><p>- Consume DeepSeek via the official API Ollama and llama.cpp</p><p>- Use DeepSeek for coding document understanding and creative ideation</p><p>- Integrate DeepSeek with third-party platforms like OpenRouter and Cloudflare</p><p>- Distill and deploy DeepSeek models into production environments</p><p>- Identify when and where to use DeepSeek</p><p>- Understand DeepSeek's open philosophy</p><p><strong>Who this book is for:</strong></p><p>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.</p><p><strong>Table of Contents</strong></p><p>- What is DeepSeek?</p><p>- Deep Dive into DeepSeek</p><p>- Prompting DeepSeek</p><p>- Using DeepSeek: Case Studies</p><p>- Building with DeepSeek</p><p>- Agents with DeepSeek</p><p>- DeepSeek-Driven Fine-Tuning of Gemma 3 for Legal Reasoning</p><p>- Deploying DeepSeek Models</p>