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.

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

Working Group Details

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

Other Activities From This Working Group

Current projects that have been authorized by the IEEE SA Standards Board to develop a standard.


No Active Projects

Standards approved by the IEEE SA Standards Board that are within the 10-year lifecycle.


No Active Standards

These standards have been replaced with a revised version of the standard, or by a compilation of the original active standard and all its existing amendments, corrigenda, and errata.


No Superseded Standards

These standards have been removed from active status through a ballot where the standard is made inactive as a consensus decision of a balloting group.


No Inactive-Withdrawn Standards

These standards are removed from active status through an administrative process for standards that have not undergone a revision process within 10 years.


No Inactive-Reserved Standards
Subscribe to our Newsletter

Sign up for our monthly newsletter to learn about new developments, including resources, insights and more.