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Work item:
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TR.GenAI-Telecom
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Subject/title:
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Potential requirements and methodology for deploying and assessing Generative AI models in telecom networks
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Status:
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[Carried to next study period]
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Approval process:
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Agreement
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Type of work item:
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Technical report
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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 SG16, SG17, 3GPP SA, ATIS (AI Network Applications), NGMN, ETSI ENI, IEEE (GenAINet ETI)
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Supporting members:
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Huawei Technologies Düsseldorf GmbH (Germany), China Mobile (China), China Telecom (China), China Unicom (China), Technology Innovation Institute (UAE), ANATEL (Brasil)
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Summary:
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Generative Artificial Intelligence (GenAI) is a set of algorithms, capable of autonomously generating highly realistic content in various domains such as text, images, audio, or videos and is an important solution to support accurate network modelling, network performance analysis, and automatic decision making for future networks including IMT-2020 and beyond. Importantly, to realize the vision of telecom networks supported by AI, there is a clear need for a consolidated methodology for assessing and comparing generative AI models across a potentially large range of telecom use cases. This Technical Report identifies potential requirements of Generative AI models that support telecom networks and evaluate their capabilities and performance in relevant use cases.
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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:
2024-03-21 13:34:26
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Last update:
2024-09-19 10:37:54
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