Active PAR

P2941.3

Standard for Representation and Application Programming Interface (API) of Large-scale Pre-trained Artificial Intelligence (AI) Models

The standard provides a representation and API framework for large-scale pre-trained AI models, including its training, inference, transfer, mixture, instruct-tuning, representation, compression, distribution, and services. This standard aims to facilitate the development and deployment of large-scale pre-trained AI models across different platforms and domains.

Sponsor Committee
C/DC - Data Compression Standards Committee
Status
Active PAR
PAR Approval
2023-06-05

Working Group Details

Society
IEEE Computer Society
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Sponsor Committee
C/DC - Data Compression Standards Committee
Working Group
AIM - AI Model Representation, Compression, Distribution and Management
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IEEE Program Manager
Meng Zhao
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Working Group Chair
Yonghong Tian

Other Activities From This Working Group

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


P2941.2

IEEE Draft Standard for Application Programming Interface (API) of Deep Learning Inference Engine

A set of application programming interfaces (APIs) that is aimed at breaking down the barriers between different deep learning (DL) inference engines and applications is defined in this standard. The APIs are comprised of functional interfaces including parameter reading, model compilation optimization, operator registration, thread management, input/output data acquisition, inference instance creation, and inference execution.

Learn More About P2941.2

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


2941-2021

IEEE Standard for Artificial Intelligence (AI) Model Representation, Compression, Distribution, and Management

The AI development interface, AI model interoperable representation, coding format, and model encapsulated format for efficient AI model inference, storage, distribution, and management are discussed in this standard.

Learn More About 2941-2021

2941.1-2022

IEEE Standard for Operator Interfaces of Artificial Intelligence

A set of operator interfaces frequently used in artificial intelligence (AI) applications is defined in this standard, where the AI operators refer to the standard building blocks and primitives for performing basic AI operations. The functionality and the specific input and output operands of an AI operator are discussed, as well as both generality and efficiency. Various types of operators, such as those related to basic mathematics, neural network, and machine learning, are highlighted.

Learn More About 2941.1-2022

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
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