Domain Specific Question Answering

Domain-specific question answering (QA) focuses on building systems that accurately answer questions within a particular knowledge domain, overcoming the limitations of general-purpose large language models (LLMs) which often lack specialized expertise. Current research emphasizes efficient fine-tuning methods, such as Retrieval Augmented Fine-Tuning (RAFT) combined with parameter-efficient techniques, to adapt LLMs to specific domains while minimizing computational costs and addressing privacy concerns. These advancements are significant because they enable the deployment of accurate and efficient QA systems in resource-constrained environments and specialized fields, improving information access and decision-making across various industries.