DeepSeek has emerged as a promising open-source language model, with capabilities that rival leading proprietary systems like ChatGPT. But what makes it special, and how can IT professionals and AI practitioners put it to use? DeepSeek Essentials takes a practical, no-nonsense approach to helping you build with DeepSeek models in real-world scenarios.
You’ll explore DeepSeek’s origin, architecture, and multimodal strengths to grasp what sets it apart from ChatGPT and other LLMs and understand its current state, strengths, and gaps to make smart, informed choices about when and how to use it. With concrete examples in coding, document analysis, and ideation, you’ll build confidence using DeepSeek. You’ll also learn to work with cloud APIs such as OpenRouter and Cloudflare or run DeepSeek locally using tools like Ollama and llama.cpp.
The concluding chapters focus on GenAI-powered applications, covering agent development and workflow design. You’ll learn to distill and extend models for custom needs, enabling fast, adaptive solutions across enterprises, startups, or research.
By the end of this book, you’ll have gained the clarity and skills to build effectively with DeepSeek, whether it be evaluating AI tools or developing next-gen apps.

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Spis treści

DeepSeek in Practice. From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM eBook -- spis treści

• 1. What is DeepSeek?
• 2. Deep Dive into DeepSeek
• 3. Prompting DeepSeek
• 4. Using DeepSeek: Case Studies
• 5. Building with DeepSeek
• 6. Agents with DeepSeek
• 7. DeepSeek-Driven Fine-Tuning of Gemma 3 for Legal Reasoning
• 8. Deploying DeepSeek Models