Researchers have developed a system called ADN-Agent to manage complex energy distribution networks. The system uses a large language model to coordinate multiple specialized models, allowing for more efficient and flexible problem-solving. This approach involves adaptive intent recognition, task decomposition, and the invocation of specific models. A novel communication mechanism is also designed to integrate diverse models. The authors claim that their method outperforms existing approaches in this area. --- Why it matters: This matters because it shows how AI can be used to improve the efficiency and flexibility of complex systems like energy distribution networks. Engineers working on similar problems may find inspiration in the use of large language models to coordinate multiple specialized models. Source: https://arxiv.org/abs/2511.12484