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portada DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM (en Inglés)
Formato
Libro Físico
Idioma
Inglés
N° páginas
478
Encuadernación
Tapa Blanda
Dimensiones
23.5x19.1x2.4 cm
ISBN13
9781806020850

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

Peng, Andy; Linschoten, Alex Strick Van; Carmo, Duarte O. (Autor) · Packt Publishing · Tapa Blanda

DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM (en Inglés) - Peng, Andy; Linschoten, Alex Strick Van; Carmo, Duarte O.

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Reseña del libro "DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM (en Inglés)"

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

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