# Domain-Specific Small Language Models

> Source: <https://www.manning.com/books/domain-specific-small-language-models>
> Published: 2026-09-02 19:55:47+00:00

**Bigger isn’t always better. Train and tune highly focused language models optimized for domain specific tasks.**
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.

*Domain-Specific Small Language Models* teaches you to build generative AI models optimized for specific fields.

In

*Domain-Specific Small Language Models* you’ll discover:

- 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

Perfect for cost- or hardware-constrained environments, Small Language Models (SLMs) train on domain specific data for high-quality results in specific tasks. In

*Domain-Specific Small Language Models* you’ll develop SLMs that can generate everything from Python code to protein structures and antibody sequences—all on commodity hardware.