Active PAR

P3378

Standard for Framework and Process for Large-Scale Deep Learning Model Evaluation

This standard applies to the design, development, application, and evaluation of large-scale deep learning models for artificial intelligence. The standard specifies a technical reference architecture of large scale deep learning models. Furthermore, the standard provides general requirements on basic software and hardware functions of these learning models and their performance. The standard also includes a framework for the evaluation of such large-scale deep learning models.

Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Status
Active PAR
PAR Approval
2023-06-29

Working Group Details

Society
IEEE Computer Society
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Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Working Group
LS-DLM - Large-scale Deep Learning Model
Learn More About LS-DLM - Large-scale Deep Learning Model
IEEE Program Manager
Christy Bahn
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Working Group Chair
Dahua Lin

Other Activities From This Working Group

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