上海人工智能实验室（上海AI实验室）近日联合清华大学、香港中文大学、商汤科技等机构，发布了一款名为“书生·视觉大模型”（InternVL）的新一代视觉基础模型。这款视觉编码器参数量达60亿的模型（InternVL-6B），首次提出了对比-生成融合的渐进式对齐技术，实现了在互联网级别数据上视觉大模型与语言大模型的精细对齐。
This marks a significant breakthrough in the field of computer vision, as the InternVL-6B model sets a new benchmark in visual encoding capabilities. The collaborative effort between Shanghai AI Lab, Tsinghua University, the Chinese University of Hong Kong, and SenseTime demonstrates the power of cross-institutional collaboration in driving innovation in AI.
The fine alignment of the visual large model with the language large model on internet-scale data is a pioneering technique that has the potential to revolutionize AI applications. The comparative-generative fusion progressive alignment technology is an innovative approach that could lead to more accurate and efficient AI systems.
The release of the InternVL model is a testament to the cutting-edge research being conducted in China’s AI sector. It also underscores the country’s commitment to open-source innovation and sharing advancements with the global AI community.
As AI continues to advance rapidly, the development of such sophisticated models is crucial for pushing the boundaries of what is possible in AI applications. The InternVL model has the potential to impact a wide range of fields, including computer vision, natural language processing, and machine learning.
The collaboration between these leading institutions is a shining example of the synergy that can be achieved through interdisciplinary research and development. It is also a testament to the importance of fostering a culture of innovation and collaboration in the AI sector.
The release of the InternVL model is a significant milestone in the field of AI and further solidifies China’s position as a global leader in AI research and development.
【来源】https://mp.weixin.qq.com/s/bdfAJRqOF9tUk8Vy9KC_XQ
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