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DTSTART;TZID=America/Denver:20231113T141500
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UID:submissions.supercomputing.org_SC23_sess442_ws_whpc106@linklings.com
SUMMARY:OpenGPT-X:  Advancements, Challenges, Exploration, and Future Goal
 s
DESCRIPTION:Chelsea Maria John and Andreas Herten (Forschungszentrum Jülic
 h)\n\nIn the era of Natural Language Processing with Large Language Models
 , the OpenGPT-X project brings forth a platform for researching, producing
 , and using language models. The project is a German initiative with ten c
 ollaborative partners, focusing their efforts to contribute a multilingual
  Open Source language model. Models trained within the project will also b
 e used for pilot cases by industry partners and commercialized through Gai
 a-X federation. The memory and compute for training large language models 
 efficiently demands high performance computing systems like JUWELS Booster
 . This paper outlines the advancements and challenges in the project from 
 the perspective of Jülich Supercomputing Centre and showcases the results 
 of exploration of novel hardware architecture conducted within the scope o
 f the project.\n\nTag: State of the Practice\n\nRegistration Category: Wor
 kshop Reg Pass\n\nSession Chairs: Elsa J. Gonsiorowski (Lawrence Livermore
  National Laboratory (LLNL)) and Mozhgan Kabiri chimeh (NVIDIA Corporation
 )\n\n
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