DeepSeek in Practice

Gain hands-on experience building, fine-tuning, and deploying GenAI applications using DeepSeekKey FeaturesExplore DeepSeek's architecture, training data, and reasoning capabilitiesBuild agents, fine-tune with distillation, and deploy with CI/CD pipelinesApply DeepSeek to real-world use cases like coding, ideation, and legal analysisPurchase of the print or Kindle book includes a free PDF eBookBook 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 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 learnDiscover DeepSeek's unique traits in the LLM landscapeCompare DeepSeek's multimodal features with leading modelsConsume DeepSeek via the official API, Ollama, and llama.cppUse DeepSeek for coding, document understanding, and creative ideationIntegrate DeepSeek with third-party platforms like OpenRouter and CloudflareDistill and deploy DeepSeek models into production environmentsIdentify when and where to use DeepSeekUnderstand DeepSeek's open philosophyWho 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.]]>