Senior Architect of Machine Learning at Sina Weibo
He has twenty years of experience in machine learning related research and development. He received his undergraduate degree from Beijing Normal University, master's degree from Institute for Computational Languages, Peking University, and PhD degree from Laboratory for Computational Linguistics, The Hong Kong Polytechnic University. He worked at Sina Weibo after his PhD graduation, and his PhD graduation. His specific R&D directions and interests include AIGC, LLM, recommender systems and algorithms, Natural Language Processing, Cross-Modal Content Understanding, User Understanding, Social Mining, etc. He is also an expert in machine learning algorithms for Sina Weibo.
Application of AIGC Technology in Sina Weibo
The advancement of content production technology represented by AIGC has brought new possibilities for the continuous development of social media platforms. In this report, we will delve into the application of AIGC (Artificial Intelligence Generated Content) in Weibo. At the same time, we will also provide an in-depth analysis of the AIGC technology that is being used in Weibo, and suggest possible directions for future improvement, with the aim of facilitating a more efficient and safer integration between Artificial Intelligence and social media.