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Reliable Large Models with Knowledge Augmentation
Reliable Large Models with Knowledge Augmentation
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Author(s): Wang, Wenguang
ISBN No.: 9789819573455
Pages: 443
Year: 202608
Format: Trade Cloth (Hard Cover)
Price: $ 119.34
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

Wang Wenguang, a distinguished expert in artificial intelligence, holds a Master's degree from Zhejiang University. Recognized as an Elite Talent of the Pudong New Area "Pearl Plan," he has received provincial and ministerial-level Science and Technology Progress Awards for his contributions to AI standard formulation. His accolades include serving as Chief Technician of Pudong New Area, being named Tencent Cloud Most Valuable Expert (TVP) and receiving the Outstanding Contributor award from the China Artificial Intelligence Industry Development Alliance. As the author of the bestselling AI book Knowledge Graph: Cognitive Intelligence Theory and Practice, Mr. Wang is dedicated to advancing research and the practical application of general artificial intelligence technologies. His extensive professional engagements include membership in the Shanghai Artificial Intelligence Technology Standardization Committee and service as a review expert for the Shanghai Municipal Science and Technology Commission. He is also a senior member of the China Computer Federation (CCF) and plays key roles in several academic committees, including the Language and Knowledge Computing division of the Chinese Information Processing Society (CIPS) and the Deep Learning Specialized Committee of the Chinese Association for Artificial Intelligence (CAAI). Additionally, he is an expert committee member of the Shanghai Artificial Intelligence Technology Association.


He has made substantial contributions to the field, having played a key role in formulating over ten AI-related standards. His research portfolio includes numerous national invention patents and academic papers, and he has co-authored multiple authoritative books on artificial intelligence.


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