Large Knowledge Model

Large Knowledge Models (LKMs) aim to improve upon the limitations of Large Language Models (LLMs) by incorporating structured knowledge and reasoning capabilities. Current research focuses on integrating LLMs with symbolic AI techniques, such as knowledge graphs and ontologies, to create hybrid systems that can perform complex planning, reasoning, and anomaly detection tasks, particularly within specialized domains like manufacturing and scientific research. This integration promises to enhance the reliability and explainability of AI systems, leading to more effective applications in diverse fields and advancing scientific discovery.