Domain Expertise

Domain expertise in artificial intelligence focuses on enhancing large language models (LLMs) and other AI agents to perform specialized tasks effectively. Current research emphasizes methods for integrating domain-specific knowledge, often through techniques like fine-tuning with curated datasets, knowledge graph augmentation, and multi-agent systems that combine the strengths of different specialized models. This work aims to improve the accuracy, efficiency, and cost-effectiveness of AI systems across various fields, from medicine and law to scientific research and engineering, by bridging the gap between general-purpose AI and task-specific performance. The resulting advancements have significant implications for both scientific discovery and practical applications requiring high levels of accuracy and reliability.