Oak Ridge National Laboratory (ORNL) has partnered with a global research consortium to advance the development of large-scale generative artificial intelligence (AI) models for scientific discovery. The Trillion Parameter Consortium (TPC) aims to promote responsible AI use and development by leveraging the expertise of ORNL in developing trustworthy and energy-efficient AI systems.
As part of the consortium, ORNL will focus on building an open community of researchers interested in creating large-scale generative AI models. This will involve launching and coordinating projects across the AI and scientific community, as well as establishing a global network of resources and expertise to support the development of next-generation AI systems.
The researchers in the TPC will harness the power of exascale supercomputers, such as ORNL’s Frontier, to train large language models on scientific research. This includes utilizing scientific codes, papers, and observational and experimental data. By leveraging such computational capabilities, the consortium aims to unlock new insights and accelerate scientific breakthroughs using AI techniques.
Dr. Thomas Zacharia, the Director of ORNL, expressed excitement about the partnership, stating, By joining forces with the Trillion Parameter Consortium, Oak Ridge National Laboratory can contribute its unique expertise in developing AI systems and help pave the way for responsible and impactful AI applications in scientific research. This collaboration aligns with our mission of addressing complex scientific challenges through innovation.
The use of AI in scientific research holds tremendous potential for various fields, from drug discovery and materials science to climate modeling and genomics. Large-scale generative AI models can assist researchers in analyzing vast amounts of data, identifying patterns, and formulating hypotheses. This collaboration aims to push the boundaries of AI capabilities and foster meaningful collaborations within the scientific community.
With a global audience in mind, this partnership highlights the international efforts to harness the power of AI in scientific research. By promoting responsible AI development and a collaborative approach, the Trillion Parameter Consortium and its member institutions, including ORNL, strive to ensure AI is utilized ethically, accurately, and effectively.
As the field of AI continues to advance and evolve, collaborations like these underscore the importance of leveraging shared knowledge and resources to unlock the full potential of AI for scientific discovery. With ORNL’s expertise and the collaborative efforts of the Trillion Parameter Consortium, the future of AI-enabled scientific research appears promising.
