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Work item:
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F.RA-GAI
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Subject/title:
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Technical requirements and assessment methods of generative artificial intelligence enabled multimedia applications
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Status:
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[Carried to next study period]
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Approval process:
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TAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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-
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Liaison:
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ITU-T SG20, IEEE, ISO/IEC JTC1 SC42
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Supporting members:
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Institute of Digital Currency, People's Bank of China, Baidu, China Mobile, China, China Unicom.
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Summary:
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Generative artificial intelligence is a branch of artificial intelligence technology, which has been developed for many years before. At present, this technology has been widely used in a variety of industries in the actual scene. However, when it comes to using these applications, problems with functions and performance will come out. It is necessary to establish a framework of technical requirements and certain evaluation methods.
Generative artificial intelligence applications enabled multimedia contains several generative modalities, such as text, image, video, audio, structured data, code, 3D model, etc. For each modality, this recommendation will define the technical requirements. This will help users get a better understanding of generative artificial intelligence.
Meanwhile, this Recommendation will establish assessment methods, including assessment objects, testing indicators and testing methods. This will help users to increase the user experience and product performance of generative artificial intelligence enabled multimedia applications.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2023-08-23 10:39:58
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Last update:
2024-09-20 10:32:31
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