面壁智能获数亿元融资，将用于端侧高效大模型研发与生态建设，巩固其在边缘智能领域的领先地位。作为国内端侧大模型先行者，公司已形成从理论到产品的技术闭环，核心产品MiniCPM“面壁小”系列表现突出。
面壁智能完成数亿元融资，投资方包括京国瑞、国科投资等。资金将重点投入端侧高效大模型的研发，以巩固其在终端智能市场的技术优势。作为国内端侧AI领域的先行者，公司已构建从理论到全场景产品的完整体系。
清华大学联合面壁智能在《自然・机器智能》发文，提出“能力密度”指标，强调模型性能应注重单位参数的有效智能而非规模。研究发现，能力密度约每3.5个月翻倍，同等任务所需参数可指数级减少。高密度需数据、算力、算法协同设计，而非简单压缩。面壁智能据此推出0.5B-2B系列模型。
北京国有资本投资面壁智能数亿元，这是国务院发布“人工智能+”行动后国内端侧大模型首笔公开融资。资金将用于研发和商业化，助力人工智能发展。
智能对话助手，多功能大模型
Openai
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Context Length
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Anthropic
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Xai
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