Wei Haoran, a former core researcher at DeepSeek, has been appointed as the lead of Baidu Wenxin’s multimodal algorithms. This personnel change aims to strengthen Baidu’s talent pool in the field of artificial intelligence multimodality and enhance its technical capabilities in combining vision and language technologies. Wei Haoran had previously been deeply involved in the architecture design and training optimization of related models. This appointment will directly drive the iterative updates of Baidu Wenxin’s models in multimodal interaction, content understanding, and generation tasks, helping to enhance Baidu’s technical advantages in the large model competition.
Wei Haoran, a former researcher at DeepSeek, has been appointed as the lead of Baidu Wenxin’s multimodal algorithms. This appointment signifies Baidu’s further enhancement of its talent deployment in the field of artificial intelligence multimodality, aiming to strengthen its large model’s technical capabilities in combining vision and language. Wei Haoran previously served as a core researcher at DeepSeek, deeply involved in the architecture design and training optimization of related models. This personnel change will directly drive the iterative updates of Baidu Wenxin’s models in multimodal interaction, content understanding, and generation tasks, helping to enhance Baidu’s technical edge in the large model competition.