正文：
近日，中国工程院院士、清华大学智能产业研究院院长张亚勤在C3安全大会上分享了对大模型未来发展趋势的看法。他表示，大模型发展将有多个方向，包括多模态、自主智能、边缘智能、物理智能、生物智能以及新算法新架构。
张亚勤认为，无人驾驶技术的发展将颠覆人类驾驶的现状。他指出，无人驾驶的安全性至少比人类驾驶高10倍。这一观点无疑对未来的交通出行方式产生了巨大的影响。
在谈到大模型的发展方向时，张亚勤指出，多模态将是其中之一。这意味着，未来的智能系统将能够处理多种类型的数据，如文本、图像、声音等，从而使它们的能力更加强大。
此外，自主智能也是大模型发展的一个方向。张亚勤解释道，自主智能指的是智能系统能够在没有人类干预的情况下自主做出决策。这将极大地提高工作效率和准确性。
边缘智能也是大模型发展的一个重要方向。张亚勤表示，边缘智能可以使智能系统在数据产生的地方进行处理，而不是将数据传输到云端。这不仅可以提高处理速度，还可以保护数据的安全。
此外，物理智能、生物智能以及新算法新架构也是大模型发展的方向。张亚勤指出，物理智能可以使智能系统更好地理解和模拟物理世界，生物智能可以使智能系统更好地理解和模拟生物世界，新算法新架构可以使智能系统更加高效和强大。
总的来说，张亚勤的观点为我们展示了大模型未来的发展趋势，也让我们看到了无人驾驶等技术的巨大潜力。未来，随着这些技术的发展，我们的生活将变得更加便捷和安全。
英语如下：
# Title: Zhang Yajing: Autonomous Driving Is 10 Times Safer Than Human Driving, Large Models Lead Future Trends
Keywords: Autonomous Driving, Zhang Yajing, Development of Large Models
News Content:
Title: Zhang Yajing: Autonomous Driving Is at Least 10 Times Safer Than Human Driving
Body:
Recently, Academician of the Chinese Academy of Engineering, President of the Institute of Intelligent Industry of Tsinghua University, Zhang Yajing, shared his views on the future trends of large model development at the C3 Security Conference. He stated that the development of large models will proceed in several directions, including multimodal, autonomous intelligence, edge intelligence, physical intelligence, biological intelligence, as well as new algorithms and architectures.
Zhang Yajing believes that the development of autonomous driving technology will revolutionize the current state of human driving. He pointed out that the safety of autonomous driving is at least 10 times higher than that of human driving. This perspective undoubtedly has a significant impact on future modes of transportation.
When discussing the direction of large model development, Zhang Yajing noted that multimodal will be one of them. This means that future intelligent systems will be able to handle various types of data, such as text, images, sounds, etc., thus making their capabilities more powerful.
Additionally, autonomous intelligence is also a direction for the development of large models. Zhang Yajing explained that autonomous intelligence refers to the ability of intelligent systems to make decisions independently without human intervention. This will greatly improve work efficiency and accuracy.
Edge intelligence is also an important direction for the development of large models. Zhang Yajing stated that edge intelligence allows intelligent systems to process data where it is generated, rather than transmitting it to the cloud. This can not only increase processing speed but also protect data security.
Furthermore, physical intelligence, biological intelligence, and new algorithms and architectures are also directions for the development of large models. Zhang Yajing pointed out that physical intelligence enables intelligent systems to better understand and simulate the physical world, biological intelligence allows intelligent systems to better understand and simulate the biological world, and new algorithms and architectures make intelligent systems more efficient and powerful.
In summary, Zhang Yajing’s views showcase the future trends of large models and reveal the tremendous potential of technologies such as autonomous driving. In the future, with the development of these technologies, our lives will become more convenient and secure.
【来源】http://www.chinanews.com/cj/2024/05-20/10220093.shtml
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