Domain-Specific Small Language Models

“Domain-Specific Small Language Models” provides practical guidance for AI engineers on building efficient, high-quality language models tailored to specific fields using open-source tools and techniques like fine-tuning and optimization. The book covers topics such as model sizing, deployment on commodity hardware, and developing secure, regulation-compliant models for various specialized applications. With hands-on examples, it demonstrates how to adapt pretrained models for tasks ranging from coding to biomedical research, making it valuable for those working within resource-constrained environments.