【沈向洋：通用大模型引领人机关系新思考，个性化个人模型或成未来焦点】
美国国家工程院外籍院士、资深科技专家沈向洋在近期的言论中，揭示了人工智能领域的新趋势——通用大模型时代。他认为，这种技术将广泛渗透到各个垂直行业，对人机关系带来深远影响。沈向洋指出，为了实现真正的通用模型性能，模型的参数规模将达到前所未有的万卡、甚至上万亿参数的级别，这无疑对计算能力和数据处理能力提出了新的挑战。
沈向洋进一步提出了一个前瞻性的观点，即未来最具发展潜力的方向可能是个性化的个人大模型。这种模型能够根据每个人的特性和需求进行定制，从而提供更为精准的服务。他设想，将个性化参数与云计算和端设备的高效结合，不仅能够实现人工智能的个性化应用，还能开创出具有巨大商业价值和用户体验提升的新领域。
这一理念的提出，预示着人工智能技术将从宏观的通用性向微观的个性化转变，为人机交互提供更为自然和贴心的方式。随着科技的不断进步，我们有理由期待一个更加智能、更加个性化的未来，这将深刻改变我们的生活方式和工作模式。来源：财联社。
英语如下：
**News Title:** “Academician Sheng Xiangyang Envisions the Future: Universal Large Models Transform Human-Machine Relations, Personalized Technologies Open a New Era”
**Keywords:** Sheng Xiangyang, Large Models, Personalization
**News Content:**
**[Sheng Xiangyang: Universal Large Models Spark New Perspectives on Human-Machine Relations, Personalized Models May Be the Future Focus]**
Academician Sheng Xiangyang, a foreign member of the National Academy of Engineering in the United States and a renowned tech expert, recently shed light on a new trend in the field of artificial intelligence (AI) – the era of universal large models. He believes that this technology will pervade various vertical industries, profoundly impacting the relationship between humans and machines. Sheng Xiangyang emphasizes that achieving genuine universality in model performance would require a scale of parameters never seen before, reaching into the tens of thousands or even trillions, posing new challenges for computational power and data processing capabilities.
Going a step further, Sheng Xiangyang proposes a forward-thinking perspective, suggesting that the most promising direction for future development might be personalized individual large models. These models could be tailored to each person’s unique characteristics and needs, offering more precise services. He envisions the integration of personalized parameters with efficient cloud computing and edge devices, not only enabling personalized AI applications but also creating new domains with substantial commercial value and enhanced user experiences.
This concept indicates a shift in AI technology from macro-level generality to micro-level personalization, offering more natural and user-friendly ways for human-machine interaction. As technology advances, we have reasons to anticipate a smarter and more personalized future that will profoundly reshape our lifestyles and work patterns. Source: Caixin Global.
【来源】https://www.cls.cn/detail/1628008
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