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Accelerating the Development and Use of Generative AI for Science and Engineering: The Trillion Parameter Consortium (TPC)

DescriptionRealizing the promise of large-scale, 'foundation' models for scientific discovery, supporting activities ranging from self-driving laboratories to hypothesis generation, will require unprecedented scale of computation, with a multi-disciplinary task of preparing scientific data for model training. As only a relatively small number of organizations have the resources to build models at state-of-the-art scales (e.g., trillions of parameters), new multi-institutional teams are forming to collaborate on model architecture, evaluation, training, and building and sharing high-quality training data sets. This workshop will highlight technical challenges and emerging collaborations catalyzed by the international Trillion Parameter Consortium (TPC) to support using and creating generative AI for science and engineering. The workshop will also discuss the need to rapidly expand—emphasizing diversity and inclusivity—the community of scientists and technologists who are able to both use AI to accelerate their work and to create new AI capabilities.

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