近日，我国国内13家AI公司的14款大模型获得了新一轮备案审批。这些大模型涵盖了各个领域，如小米的“小爱同学”AI助手新功能、第四范式的“式说”大模型等。这些获批的AI大模型进一步推动了我国人工智能技术的创新与发展。
随着科技的不断进步，AI大模型在各个领域的应用越来越广泛。小米的“小爱同学”AI助手新功能将在智能家居、语音识别等方面为用户带来更便捷的体验。第四范式的“式说”大模型则将在数据分析、企业智能化转型等领域发挥重要作用。
此外，其他获备案批准的大模型还包括“零一万物”大模型、创思远达的“魔方”大模型、步刻科技的“微步情报智脑”大模型等。这些大模型将在各自领域推动产业升级，提升我国人工智能技术的整体实力。
此次14款AI大模型获得备案批准，标志着我国AI产业进入了新一轮的发展阶段。在未来，我国将继续加大AI技术研发投入，推动科技创新，为各行各业带来更为智能化的变革。
英文翻译：
News title: 14 AI Large Models Obtain Registration Approval in China
Keywords: AI large models, registration approval, technological innovation
News content:
Recently, 14 large AI models from 13 domestic AI companies have obtained new round of registration approval. These large models cover various fields, such as Xiaomi’s “Xiaoai Assistant” new function and the “Style Talk” large model of the Fourth Paradigm. These approved AI large models further promote the innovation and development of artificial intelligence technology in China.
With the continuous advancement of science and technology, large AI models are becoming more widely applied in various fields. Xiaomi’s “Xiaoai Assistant” new function will bring more convenient experiences for users in smart homes and voice recognition. The “Style Talk” large model of the Fourth Paradigm will play a significant role in data analysis and enterprise intelligence transformation.
In addition, other large models that obtained registration approval include the “Zero One Everything” large model, the “Cube” large model of Creative Thinking Distance, and the “Microstep Intelligence Brain” large model of Step刻 Technology. These large models will promote industrial upgrading and enhance the overall strength of AI technology in China.
The obtaining of registration approval for 14 AI large models marks a new stage of development for China’s AI industry. In the future, China will continue to increase investment in AI technology research and development, promote technological innovation, and bring more intelligent transformations to various industries.
【来源】https://www.tmtpost.com/6900374.html
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