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IEEE P3378
IEEE Draft Standard for Framework and Process for Large-Scale Deep Learning Model Evaluation
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New IEEE Standard - Active - Draft.
The tasks that large-scale deep learning model can support were specified in this standard. The evaluation metrics and evaluation requirements of large-scale deep learning models were addressed in this standard.
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.
The tasks that large-scale deep learning model can support were specified in this standard. The evaluation metrics and evaluation requirements of large-scale deep learning models were addressed in this standard.
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.
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| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Publication Date | 12/09/2025 |
| Page Count | 47 |
| EAN | --- |
| ISBN | --- |
| Weight (in grams) | --- |
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