DeepSeek in Practice: From basics to fine tuning, distillation, agent design, and prompt engineering of open source LLM

Gain hands-on experience building, fine-tuning, and deploying GenAI applications using DeepSeekKey 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 eBookBook 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 philosophyWho 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

Pagina's: 478, Paperback, Packt Publishing