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DTSTAMP:20250626T234542Z
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DTSTART;TZID=America/New_York:20241122T083000
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UID:submissions.supercomputing.org_SC24_sess769_misc326@linklings.com
SUMMARY:Workshop Introduction: The Trillion Parameter Consortium
DESCRIPTION:Rick Stevens and Charlie Catlett (Argonne National Laboratory 
 (ANL), University of Chicago)\n\nThe predictive power of Large Language Mo
 dels (LLMs) has increasingly made them go-to methods across many scientifi
 c domains. This presents scientists with new challenges but even greater o
 pportunities as they explore various approaches and drive changes in data 
 protection, data usage, and scientific understanding. The international Tr
 illion Parameter Consortium (TPC) aims to bring together groups interested
  in collaborating around important areas including<em> building, training,
  and using</em> large-scale AI models as well as <em>building and operatin
 g </em>large-scale computing systems. TPC convenes individuals from three 
 broad and overlapping communities: (1) those working on AI methods develop
 ment, natural language processing/multimodal approaches and architectures,
  full stack implementations, scalable libraries and frameworks, AI workflo
 ws, data aggregation, cleaning and organization, training runtimes, model 
 evaluation, downstream adaptation, alignment, etc.; (2) those who design a
 nd build hardware and software systems; and (3) those who will ultimately 
 use the resulting AI systems to explore a range of challenges in science, 
 engineering, medicine, and other domains.  This workshop aims to provide a
 n update on projects around the world, with empahsis on international coll
 aborative teams working in areas ranging from evaluation and safety to tra
 ining and performance to discipline-specific applications.\n\nTag: Artific
 ial Intelligence/Machine Learning\n\nRegistration Category: Workshop Reg P
 ass\n\nSession Chairs: Charlie Catlett (Argonne National Laboratory (ANL),
  University of Chicago); Fabrizio Gagliardi (Barcelona Supercomputing Cent
 er (BSC), Association for Computing Machinery (ACM)); Neeraj Kumar (Pacifi
 c Northwest National Laboratory (PNNL)); Satoshi Matsuoka (RIKEN, Tokyo In
 stitute of Technology); Irina Rish (University of Montreal, Canada; Mila –
  Quebec AI Institute); Rick Stevens (Argonne National Laboratory (ANL), Un
 iversity of Chicago); and Valerie Taylor (Argonne National Laboratory (ANL
 ), University of Chicago)\n\n
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