美国国家工程院外籍院士沈向洋近日在一次科技论坛中，对人工智能领域的未来发展发表了重要见解，他认为我们正步入一个由通用大模型主导的新时代。沈向洋院士指出，这些大模型将广泛渗透到各个垂直行业，其性能的提升将依赖于模型参数的海量增加，甚至可能达到万卡乃至上万亿参数的规模。
沈院士进一步提出，未来的焦点可能在于个性化个人大模型的开发。这种模型将能够根据每个用户的独特需求进行定制，从而提供更为精准的服务。他强调，将个性化参数与云计算及端设备的智能结合，将是开启全新价值场景的关键。这一创新模式有望在提升用户体验的同时，推动人工智能技术在各个领域的深度应用。
沈向洋的观点揭示了人工智能技术的未来趋势，即从通用化走向个性化，从中心化走向边缘化，这不仅将改变人与机器的互动方式，也将深刻影响各行各业的运作模式。这一前瞻性思考为科技界和产业界提供了新的研究和探索方向，预示着人工智能领域即将迎来一场深远的变革。
英语如下：
News Title: “Academician Shen Xiangyang Envisions: Large通用 Models Pave the Way for a New Era in Human-Machine Interaction, Personalization Era Dawns”
Keywords: Shen Xiangyang, Large Models, Personalization
News Content:
In a recent tech forum, Shen Xiangyang, an外籍academician of the National Academy of Engineering in the United States, shared his insights on the future of artificial intelligence (AI) development. He believes that we are stepping into an era dominated by general-purpose large models, which will reshape human-machine relationships and emphasize personalization.
Academician Shen pointed out that these large models will permeate various vertical industries, with their performance improvements heavily reliant on the massive increase in model parameters, potentially reaching scales of tens of billions or even trillions. He further suggested that the focus may shift towards developing personalized individual large models, capable of customization based on each user’s unique needs, thereby offering more precise services.
He emphasized that integrating personalized parameters with cloud computing and device intelligence will be crucial for unlocking new value scenarios. This innovative approach is expected to enhance user experience and drive the in-depth application of AI technology across sectors.
Shen Xiangyang’s perspective highlights the future trend of AI, moving from generality to personalization and from centralization to decentralization. This not only transforms how humans interact with machines but also profoundly impacts the operational models across industries. His foresight offers new research and exploration directions for both the tech and industrial sectors, foreshadowing a profound transformation in the AI landscape.
【来源】https://www.cls.cn/detail/1628008
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