Alibaba's DAMO Academy (Lakeside Laboratory) has announced a significant breakthrough in Beijing: the 'Baguan' meteorological big model developed based on global meteorological models. This innovative model, named 'Baguan' (meaning 'Insight from All Directions, Observing All Phenomena'), elevates weather forecasting accuracy to unprecedented levels. The most remarkable feature of this meteorological big model is its ultra-high accuracy. By integrating multi-source regional data, the model achieves an ultra-fine prediction resolution of 1 km × 1 km × 1 hour. In practical applications, this model predicts key meteorological indicators with greater accuracy compared to traditional forecasts.

Alibaba Group's research institution, DAMO Academy, has launched a large language model tailored specifically for Southeast Asian languages. The Southeast Asian LLM is pre-trained on datasets in Vietnamese, Indonesian, Thai, Malay, Khmer, Lao, Tagalog, and Burmese, and outperforms other open-source models in language and safety tasks. The region is considered an important growth market for LLMs targeting specific areas. SeaLLM excels in non-Latin language tasks and demonstrates enhanced capabilities in understanding and processing non-Latin script text.

Alibaba Damo Academy has released the industry's first remote sensing AI large model, capable of identifying farmland, crops, buildings, and more. The model is now available for use on the AI Earth geo-science cloud platform. The Remote Sensing AI Interpretation General Segmentation Model (AIE-SEG) standardizes the image segmentation task. The model can recognize nearly a hundred categories of remote sensing land cover, with an accuracy improvement of 25% to 30%.