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From the Publisher
“Gives the reader a jumpstart toward making efficient, focused models with well-controlled data.”
Janelle Shane, AI Weirdness
“Effectively cuts through the hype to focus on the tangible business value of localized, efficient artificial intelligence.”
Luca Longo, University College Cork
“A timely and much-needed reference for both researchers and industry practitioners.”
Ahmed Serag, Weill Cornell Medicine
why this book?
Domain-Specific Small Language Models shows how to build compact AI models tuned to a specific industry, workflow, or dataset, rather than relying on oversized general-purpose LLMs.
Readers learn practical techniques for fine-tuning, evaluation, deployment, and optimization, enabling them to run capable models with lower latency, lower infrastructure costs, and tighter control over data and outputs.
The book also helps engineers understand when small language models outperform larger systems in production, especially in environments where privacy, speed, and reliability matter more than raw parameter count.
about Manning
Manning helps developers and tech professionals stay ahead in a fast-moving industry with expert-led books, videos, and projects. Learning never stops, but it’s hard to keep up, so we focus on content that’s practical, clear, and trusted. As an independent publisher, we adapt quickly, from pioneering early-access books to offering DRM-free eBooks. Our series, like "In Action" and "In a Month of Lunches", reflect a commitment to making complex topics accessible.
Deep Learning with Python, Third Edition
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AI Agents in Action
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Build a Large Language Model (From Scratch)
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LLMs in Production: From language models to successful products
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Data Analysis with LLMs: Text, tables, images and sound (In Action)
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Causal AI
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| Level of proficiency | Intermediate | Intermediate | Intermediate | Intermediate | Intermediate | Advanced |
| About the reader | For readers with intermediate Python skills. | For intermediate Python programmers. | Readers need intermediate Python skills and some knowledge of machine learning. | For data scientists and ML engineers. | For data scientists and data analysts. | For data scientists and machine learning engineers. |
| Special features | Includes liveBook with out built-in AI assistant. | Includes liveBook with out built-in AI assistant. | Includes liveBook with out built-in AI assistant. | Includes liveBook with out built-in AI assistant. | Includes liveBook with out built-in AI assistant. | Includes liveBook with out built-in AI assistant. |
| Pages | 648 | 344 | 368 | 456 | 232 | 520 |
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