DeepSeek in Practice From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM
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- Englisch ausgewählt
Fr. 76.90
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
21.11.2025
Verlag
Packt PublishingSeitenzahl
478
Maße (L/B/H)
23.5/19.1/2.6 cm
Gewicht
885 g
Sprache
Englisch
ISBN
978-1-80602-085-0
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. 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
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