Domain Corpus

Domain corpora are collections of text and data specific to a particular field, used to train and fine-tune large language models (LLMs) for improved performance on domain-specific tasks. Current research focuses on efficient methods for incorporating domain knowledge, including techniques like continual pre-training, instruction tuning, and knowledge graph augmentation, often employing transformer-based architectures. This work is significant because it enables the creation of specialized LLMs that outperform general-purpose models on tasks requiring nuanced domain expertise, with applications ranging from scientific research to enterprise-level applications. The development of effective domain adaptation strategies is a key challenge, with ongoing efforts to balance knowledge acquisition with the preservation of general language capabilities.