BioGeometry and Zhipu AI Announce Strategic Collaboration to Develop a Natural Language–Life Language Multimodal Foundation Model

BioGeometry and Zhipu AI Announce Strategic Partnership to Develop Multimodal Large Language Model for Natural Language and Biological LanguageThis model is expected to enhance the practicality of generative artificial intelligence platforms in the fields of life sciences and pharmaceutical research, lower the technical barriers for users, efficiently process biomedical information, and inspire users to discover new targets, new molecules, and new problems. It will provide new ideas and tools for AI-driven large-molecule drug discovery and advance the development of biotechnology and pharmaceutical technology.

In this collaboration, BioGeometry and Zhipu AI will integrate their respective technical and business advantages,Jointly Develop Multimodal Large Model of Natural Language-Life Language, to achieve knowledge alignment between natural language and the language of life, intelligently translating human language into biological information, and focusing on problem-solving through more intuitive and efficient information acquisition.Users can ask multiple sequential questions in natural human language, receiving intelligent assistance in research processes such as literature search and molecular discovery, thereby solving complex problems, building vertical large models in the life sciences field, and becoming a powerful assistant for exploring the mysteries of life science.

Currently, generative AI technology has made significant progress in tasks such as natural language, image, and video understanding, paving the way for the realization of artificial general intelligence. The rapid development of biotechnology has brought about a large amount of heterogeneous and multimodal data, including molecular-level data such as gene sequences and protein structures, as well as information like biomedical literature. At the same time, the diversity and complexity of these biological data also pose challenges to biopharmaceuticals. The application of artificial intelligence technology in the biomedicine field represents a powerful combination of both technologies, which can not only provide innovative solutions to complex problems in current biopharmaceuticals but also has the potential to address deeper biological questions in the future, contributing more innovative achievements to human health.