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

by Andy Peng, Alex Strick Van Linschoten, Duarte O.Carmo

Programming technical guide artificial intelligence Machine Learning
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Explore DeepSeek and open source large language models through a practical introduction to their fundamentals, fine-tuning, distillation, agent design, and prompt engineering. This guide brings together key concepts and techniques for readers seeking a broad understanding of how to work with and develop LLM-based systems.

About This Book

DeepSeek in Practice introduces the core ideas and practical techniques associated with DeepSeek and open source large language models.

The book covers foundational concepts before moving into fine-tuning and distillation, helping readers explore ways to adapt and improve language models.

It also examines agent design and prompt engineering, offering a broad overview of important approaches for working with modern language model systems.

Designed as a practical resource, this book brings together essential topics for readers developing their understanding of open source LLMs.

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I will be using this book for: