# Domain-Specific Small Language Models (Manning)

> Source: <http://www.i-programmer.info/book-watch-archive/19000-domain-specific-small-language-models-manning.html>
> Published: 2026-07-16 19:43:56+00:00

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When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of a LLM may hurt more than it helps. In this book Guglielmo Iozzia teaches how to build generative AI models optimized for specific fields. Perfect for cost- or hardware-constrained environments, Small Language Models (SLMs) train on domain specific data for high-quality results in specific tasks. In this book you’ll develop SLMs that can generate everything from Python code to protein structures and antibody sequences, all on commodity hardware.
<ASIN:1633436705 >
Author: Guglielmo Iozzia Publisher: Manning Date: May 2026 Pages: 376 ISBN: 978-1633436701 Print: 1633436705 Kindle: B0FSSMWPF8 Audience: Developers interested in machine learning Level: Intermediate Category: [Artificial Intelligence](/bookreviews/59-artificial-intelligence.html)
Topics include:
- Model sizing best practices
- Open source libraries, frameworks, utilities and runtimes
- Fine-tuning techniques for custom datasets
- Hugging Face’s libraries for SLMs
- Running SLMs on commodity hardware
- Model optimization or quantization
- ONNX and other quantization methods
- Integrate SLMs into end-to-end applications
- Deploy SLMs on laptops, smartphones, and other devices
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