The National Center for Supercomputing Applications was recently announced as a founding member of the Trillion Parameter Consortium, a global gathering of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence (AI) systems and advancing trustworthy and reliable AI for scientific discovery.
NCSA is proud to be a founding member of the Trillion Parameter Consortium. Expanding the use of AI and machine learning in scientific research – in responsible and principled ways – is a very public priority for the United States government, and this group of scientific, academic and industry leaders across the world are aligned in that mission. NCSA and I are thrilled to work alongside such a robust collection of AI pioneers pushing the field into the future.
Bill Gropp, NCSA Director
The Trillion Parameter Consortium (TPC) brings together teams of researchers engaged in creating large-scale generative AI models to address key challenges in advancing AI for science. These challenges include developing scalable model architectures and training strategies, organizing and curating scientific data for training models; optimizing AI libraries for current and future exascale computing platforms; and developing deep evaluation platforms to assess progress on scientific task learning, reliability and trust.
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