https://i126.fastpic.org/big/2025/1122/97/04a415b2a771f7bdb32c4d2403b07097.jpg
Peng A DeepSeek in Practice From basics to fine-tuning, open source LLM 2025 | 11.14 MB
Title: DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM
Author: Andy Peng
Description:
Gain hands-on experience building, fine-tuning, and deploying GenAI applications using DeepSeek
Key Features
[list]
[*] 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 analysisPurchase of the print or Kindle book includes a free PDF eBook
[/list]
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
[list]
[*] 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
[/list]
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
[list]
[*] 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
[/list]
DOWNLOAD:
Книги
