Hauptseite > Publikationsdatenbank > Novel Architecture Exploration - OpenGPT-X: Open Large Language Models > print

001     1018546
005     20250822121411.0
024 7 _ |a 10.34734/FZJ-2023-04874
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037 _ _ |a FZJ-2023-04874
041 _ _ |a English
100 1 _ |a John, Chelsea Maria
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111 2 _ |a WHPC@SC23: 16th International Women in HPC Workshop
|g WHPC@SC23
|c Denver, Colorado
|d 2023-11-12 - 2023-11-17
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245 _ _ |a Novel Architecture Exploration - OpenGPT-X: Open Large Language Models
260 _ _ |c 2023
336 7 _ |a Conference Paper
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520 _ _ |a The OpenGPT-X project is a German initiative with ten collaborators to build, train, and deploy a multilingual open-source language model. Models trained within the project will be used for pilot cases by industry partners and commercialized through the Gaia-X Federation. Due to the substantial memory and compute resources required for efficiently training large language models, high-performance computing systems such as JUWELS Booster are essential. This paper presents the results of the exploration of novel hardware architecture conducted within the scope of the project.
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536 _ _ |a OpenGPT-X - Aufbau eines Gaia-X Knotens für große KI-Sprachmodelle und innovative Sprachapplikations-Services; Teilvorhaben: Optimierung und Skalierung auf großen HPC-Systemen (68GX21007F)
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700 1 _ |a Herten, Andreas
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