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| name | ONAP R13 Enhancement of Intent Translation v3 (2).pptx |
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| name | ONAP ARCCOM 2023-08-08 - Intent Models and Architecture Feedback.pptx |
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China Mobile:
China Mobile presented their plans for intent-driven orchestration for autonomous
Intent Driven Orchestration for Autonomous Networks Leveraging GenAI, Nephio & ONAP.pdf
China Mobile and Infosys would like to work on use cases. First call done yesterday, agreed on a model to move forward. Intent Based Mode would use Generative AI. 3 layers approach: business layer, services layer, domain layer. Each Intent Manager would have its own AI. Generic model would be used: business language into ONAP consumable, for services more data oriented and finally domain oriented. We do not focus on 5G only architecture but rather on any so could be used by any organization.
Topic is in forming group. China Mobile and Infosys interested in Intent context. China Telecom is also interested with focused on user input and Intent.
Generative AI Introduction Presentation:
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| name | R14 Introducing Generative AI Solution Based on Large Models- v1.0.pdf |
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| name | ONAP ARCCOM 2023-08-08 - Intent Models and Architecture Feedback (1).pptx |
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| name | Discussion and Suggestion to Intent and its Alignment with SDOs (2).pptx |
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China Telecom:
China Telecom presented their plans for research on OAM of next generation networks
"Exploration on Orchestration and Management of 6G mobile networks based on ONAP architecture"
China Telecom developed their Data Service in UUI for CCVPN use cases, believing the generic LLM does not give enough intelligence. They developed domain specific models to generate more intelligent decisions.
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| name | ONAP R13 Alignment with 3GPP SA5 for IBN with E2E Slicing.pptx |
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| name | ONAP R13 Enhancement of Intent Translation v3 (3).pptx |
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