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ITU-T work programme

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

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

Work item: F.748.46 (ex F.TE-AIA)
Subject/title: Requirements and evaluation methods of artificial intelligence agents based on 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: IEEE P3428, IEEE P3394
Supporting members: Ministry of Industry and Information Technology (MIIT), China; Nanjing Research Institute of Next-generation Artificial Intelligence, China; China Telecom, China
Summary: This Recommendation is intended to provide a framework of requirements and evaluation methods for AI agents based on pre-trained large models. It attempts to help enterprises and users understand the AI agent technology and help them build and implement products and applications faster and more accurately. Furthermore, this Recommendation is intended to promote the healthy development of the industry.
Comment: -
Reference(s):
  Historic references:
Contact(s):
Xiaofei DONG, Editor
Xueqiang ZHANG, Editor
Yue MENG, Editor
Siqi WU, Editor
Yuntao WANG, Editor
Xiaoou LIU, Editor
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First registration in the WP: 2024-06-20 17:42:35
Last update: 2025-02-06 14:45:54