Baidu Leading Investment Student Data Technology Accelerates Multimodal Large Model Layout
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发表于 2024-6-5 13:11:13
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On June 5th, Shengshu Technology completed a pre A round of financing worth hundreds of millions of yuan. This round of financing was led by Baidu and Beijing Artificial Intelligence Industry Investment Fund, followed by Zhongguancun Science City Company and Qiming Venture Capital. As one of the earliest teams in China to lay out a multimodal universal large model, Shengshu Technology, together with Tsinghua University, released the first video large model Vidu in China to fully benchmark against OpenAI Sora in April this year. In the future, Shengshu Technology will continue to train and improve model capabilities based on Baidu Baige · AI heterogeneous computing platform, and gradually open model services through Baidu AI Cloud Qianfan platform.
Shen Shao, executive vice president of Baidu AI Cloud Group and president of Baidu Intelligent Cloud Business Group, said that investing in biometrics technology is an important strategic layout of Baidu in the field of multimodal large models. In the future, Baidu will leverage its unique advantages in AI heterogeneous computing power, large model platforms, and ecology to help Shengshu Technology accelerate technological research and innovation, quickly connect the path to commercial success, and jointly expand the industry "cake".
At the beginning of 2024, OpenAI launched the video model Sora, which attracted attention for its fusion architecture Diffusion Transformer and native multimodal technology roadmap. At that time, Shengshu Technology had been laying out this technology roadmap for over a year. In April this year, Shengshu Technology and Tsinghua University officially released China's first long duration, high consistency, and high dynamic video model - Vidu, with comprehensive performance benchmarking against Sora.
Baidu Vice President Chen Yifan stated that in the future, he will continue to support Shengshu Technology and more excellent large models based on Baige and Qianfan for model training and iteration, jointly exploring the application potential of large models in more scenarios, deeply empowering industries such as government affairs, transportation, energy, manufacturing, and finance, and contributing technological strength to the rapid development of China's real economy.
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