Peng A DeepSeek in Practice From basics to fine-tuning, open source LLM 2025

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Cultus26
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Peng A DeepSeek in Practice From basics to fine-tuning, open source LLM 2025

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Peng A DeepSeek in Practice From basics to fine-tuning, open source LLM 2025

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General:
Name: Peng A DeepSeek in Practice From basics to fine-tuning, open source LLM 2025
Format: pdf
Size: 11.14 MB
Book:
Title: DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM
Author: Andy Peng, Alex Strick van Linschoten, Duarte O.Carmo
Language: English
Year: 2025
Subjects: Computer Technology, Nonfiction
Publisher: Packt Publishing
ISBN: 1806020858
Total pages: 478
Description:
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 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 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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