|
Work item:
|
F.748.56 (ex F.AIGC-GFR)
|
|
Subject/title:
|
Artificial intelligence generated content: General framework and requirements
|
|
Status:
|
Determined on 2025-01-24 [Issued from previous study period]
|
|
Approval process:
|
TAP
|
|
Type of work item:
|
Recommendation
|
|
Version:
|
New
|
|
Equivalent number:
|
-
|
|
Timing:
|
2026 (Medium priority)
|
|
Liaison:
|
ISO/IEC JTC1 SC42
|
|
Supporting members:
|
Alibaba, Huawei, Tencent
|
|
Summary:
|
This Recommendation defines a general three-layer framework for the artificial intelligence generated content (AIGC) system. The application layer is divided into unimodal/multi-modal tasks from the perspective of content generation modalities. The model layer covers generative AI technologies and multimodal foundational models related to AIGC. The infrastructure layer includes big data, cloud platforms, and computational modules. It forms an overall framework for the AIGC system, along with the functionalities requirements, model capability benchmark testing scenarios, evaluation methods, evaluation metrics, and workflows. This Recommendation can guide enterprises in building relevant AIGC capabilities for text, audio, image, video, 3D, and other modalities, and provide a reference for testing, selecting, or evaluating AIGC technological capabilities.
|
|
Comment:
|
-
|
|
Reference(s):
|
|
|
Historic references:
|
|
Contact(s):
|
|
| ITU-T A.5 justification(s): |
|
|
|
|
First registration in the WP:
2023-08-23 10:54:11
|
|
Last update:
2025-03-04 14:13:35
|
|
