General purpose LLMs are not optimized for specific domains and business goals. Using techniques like specialized fine-tuning, pruning unnecessary neural components, and knowledge distillation, you can rearchitect your models to cost less, run faster, and deliver more accurate results. This book turns research from the latest AI papers into production-ready practices for domain-specific model optimization.

Plus, the same offer also applies to Domain-Specific Small Language Models, Enterprise RAG, A Simple Guide to Retrieval Augmented Generation and Natural Language Processing in Action, Second Edition.