Bencao Zhiku — это первая в мире специализированная ИИ-модель, созданная для индустрии традиционной китайской медицины. Разработка объединяет глубокие фармацевтические знания и современные алгоритмы машинного обучения для анализа геномов лекарственных растений.
2024 year 4 month 12 On the day, the world's first large-scale model of the Chinese-medicine industry chain —— Bench Think Tank jointly developed by Chengdu University of Medicine, Beijing Baidu Network Technology Co., Ltd., Tai Chi Group Co., Ltd., Tianfu Chinese Pharmacy City and other units “ Thousand Species Genome Project ” was released at the seminar. The large model of this grass think tank is based on the research results of Chen Shilin team's herbal genomics, an academician of the Chinese Academy of Engineering and a chief professor at Chengdu University of Chinese Medicine. This grass think tank is gathered 1500 Gene information of radical base species in Wanjie, 3000 In the remaining 10,000 medicine components and targets are used for information, 400 The core data of the bottom layer of Chinese medicine research, such as the remaining ten thousand compounds, formed a chain covering the entire industry of Chinese medicine 2000 The remaining ten thousand entities and super 20 Billions of relationships to knowledge atlas. The model is supported by a large-scale pedigree model of hundreds of billions of parameters. It enhances generation technology through fine-tuning and retrieval of instructions. It has three major functions: extraction and generation of Chinese medicine knowledge, output of Chinese medicine vertical solutions, and one-stop digital services in the Chinese medicine industry. The core data of the Chinese medicine research is organically combined with the key links of the Chinese medicine industry chain. This model helps to improve basic Chinese medicine research and the overall efficiency and quality level of the industry. It can provide accurate decision support for all key links in the Chinese medicine industry chain, thereby optimizing the production process, improving product quality, and ensuring drug safety.