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ITU-T work programme

[2025-2028] : [SG21] : [Q5/21]

[Declared patent(s)]  - [Associated work]  - [Publication]

Work item: F.748.52 (ex F.TE-RAG)
Subject/title: Requirements and evaluation methods for retrieval augmented generation of large scale pre-trained model
Status: Approved on 2025-03-16 [Issued from previous study period]
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: -
Liaison: ISO/IEC, IEEE, SG13
Supporting members: Alibaba Group, Baidu Online Network Technology (Beijing) Co., China Telecom, Huawei Technologies Co., Ltd.
Summary: The whole Recommendation establishes a framework of technical requirements and evaluation methods for retrieval augmented generation based on large scale pre-trained model. This Recommendation will offer users a better understanding of retrieval augmented generation technology and help them set up retrieval augmented generation applications more quickly and suitably. Meanwhile, this Recommendation will provide guidelines for users to examine the level of retrieval augmented generation applications' capabilities and promote the effectiveness of applications.
Comment: -
Reference(s):
  Historic references:
Contact(s):
Xiaofei DONG, Editor
Dan ZHANG, Editor
Qianna WANG, Editor
Siqi WU, Editor
Xinhui DING, Editor
Yong WANG, Editor
ITU-T A.5 justification(s):
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First registration in the WP: 2024-06-20 18:08:10
Last update: 2025-02-10 09:50:12