美国国家工程院外籍院士、资深科技专家沈向洋在近期的论述中，揭示了人工智能领域的一个新趋势——通用大模型时代。他认为，这种大规模的模型将在各个垂直行业中发挥重要作用，其性能的提升将推动模型参数规模达到前所未有的万卡、甚至上万亿级别。这一发展预示着人工智能技术的深度革新，将对人机交互方式产生深远影响。
沈向洋院士指出，未来的焦点可能在于个性化的个人大模型。这种模型将能够根据每个用户的独特需求和行为模式进行定制，提供更加精准的服务。将个性化参数与云计算和端设备相结合，将开创出一个全新的应用场景，为用户提供更为智能、贴心的体验，同时也将为各行业带来巨大的商业价值。
这一前瞻性观点表明，人工智能不仅将在技术层面持续突破，更将在人性化的服务和用户体验上寻求突破，为人们的生活和工作带来更多便利。沈向洋院士的见解为业界提供了新的思考方向，预示着人机关系将在通用大模型的推动下，进入一个更加个性化、智能化的新阶段。
英语如下：
Title: Academician Shen Xiangyang Envisions: Universal Large Models Mark a New Era in Human-Machine Relationships, Personalized Models to Shape the Future
Keywords: Shen Xiangyang, Large Models, Personalization
News Content:
In recent discussions, Academician Shen Xiangyang, an overseas member of the US National Academy of Engineering and a renowned technology expert, has shed light on a new trend in the field of artificial intelligence (AI) – the era of universal large models. He believes that these massive models will play a significant role in various vertical industries, with performance enhancements driving the model parameter scale to an unprecedented level of tens of billions or even trillions. This development signifies a profound revolution in AI technology, poised to greatly impact the way humans interact with machines.
Academician Shen suggests that the future focus might lie in personalized individual large models. Such models would be customized to cater to each user’s unique needs and behavioral patterns, offering more precise services. By combining personalized parameters with cloud computing and edge devices, a new realm of application scenarios will emerge, providing users with a smarter and more personalized experience. This also holds immense commercial value for various industries.
This forward-looking perspective indicates that AI will not only strive for technological breakthroughs but also seek advancements in personalized services and user experience, bringing more convenience to people’s lives and work. Shen Xiangyang’s insights offer a new line of thought for the industry, forecasting that human-machine relationships, driven by universal large models, will enter a more personalized and intelligent phase.
【来源】https://www.cls.cn/detail/1628008
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