Group 1 - The core viewpoint of the article highlights the recent funding rounds completed by the Chinese AI startup, Mianbi Intelligent, which focuses on edge large model development, indicating strong investor confidence and growth potential in the AI sector [1][2] - Mianbi Intelligent has successfully completed three rounds of financing since 2024, with significant investments from various funds, which will help establish a robust technological and product barrier for their efficient large model technology [1] - The company aims to accelerate industry empowerment and ecological expansion, promoting the large model's application across various sectors [1] Group 2 - In early 2025, the global AI competition has intensified, with Mianbi Intelligent leading the way in developing high-efficiency large models that offer better performance, lower costs, and reduced power consumption [2] - The launch of Mianbi's first edge full-modal model, MiniCPM-o 2.6, showcases its innovative capabilities, including real-time audio-visual processing and natural language generation, positioning it at the forefront of the industry [2] - The MiniCPM series has achieved over 10 million downloads across all platforms, reflecting its popularity and effectiveness in the market [2]

Group 1: Company Overview - The company, Mianbi Intelligent, has completed a new round of financing amounting to several hundred million yuan, with investments from Hongtai Fund, Guozhong Capital, Qingkong Jinxin, and Moutai Fund [1] - Mianbi Intelligent was founded in August 2022 and is incubated by Tsinghua University's NLP laboratory, with co-founder Liu Zhiyuan serving as the chief scientist [1] - Since 2024, Mianbi Intelligent has completed three rounds of financing, with the last round also being several hundred million yuan [1] Group 2: Market Strategy - Mianbi Intelligent adopts a "small to big" strategy, focusing on low-cost, relatively small parameter models to achieve high efficiency, which has gained recognition in the industry [2] - The company is one of the early adopters of the "edge large model" strategy, which refers to AI models that run locally on devices like smartphones and PCs, independent of cloud servers [2] - The edge large model is expected to accelerate penetration into the industry by 2025, with multi-modal interaction scenarios maturing and widespread applications in consumer electronics [3] Group 3: Commercialization Progress - Mianbi Intelligent's edge large model platform, MiniCPM series, has surpassed 10 million downloads [5] - The company launched its first edge full-modal model, MiniCPM-o 2.6, with a parameter scale of only 8 billion, capable of image understanding and multi-modal real-time interaction [5] - Mianbi Intelligent has made significant strides in the automotive sector, with the first mass-produced model featuring its edge model, the Changan Mazda MAZDA EZ-60, hitting the market [6] Group 4: Industry Impact - The edge AI market in China is projected to grow to approximately 1.9 trillion yuan by 2028, driven by explosive demand for intelligent and real-time capabilities in edge devices [4] - The deployment of AI large models on the edge addresses issues related to network latency, privacy, and computing costs, unlocking the computational potential of devices [4] - Mianbi Intelligent has also ventured into vertical fields such as law and education, assisting in the development of AI systems for judicial processes and educational support [6]

Group 1 - Beijing Mianbi Intelligent Technology Co., Ltd. has completed a new round of financing amounting to several hundred million yuan, with investments from Hongtai Fund, Guozhong Capital, Qingkong Jinxin, and Moutai Fund [1] - Since 2024, the company has successfully completed three rounds of financing, which will further strengthen its foundation for high-efficiency large model technology, product barriers, and accelerate industry empowerment and ecological expansion [1] - The global AI competition is intensifying in 2025, with innovation paths characterized by "high efficiency and low consumption" leading the global AI transformation [1] Group 2 - In January 2025, Mianbi Intelligent launched its first end-side full-modal model "MiniCPM-o 2.6," achieving real-time interaction with an 8B scale and introducing features like "continuous watching, real-time listening, and natural speaking" [2] - The MiniCPM series has achieved over 10 million downloads across all platforms, recognized for its high efficiency and low cost, and has been compared to ChatGPT and GPT-4V [2] Group 3 - Mianbi Intelligent is rapidly advancing its commercial layout and business around high-efficiency large models and end-side AI, exemplified by the launch of the "MiniCPM Super Assistant cpmGO," the world's first pure end-side intelligent assistant for vehicles [3] - The first mass-produced model equipped with the end-side model, the Changan Mazda MAZDA EZ-60, made its global debut in April 2025, marking a new phase in the commercialization of end-side large models in the automotive cockpit sector [3] - The company has established deep collaborations with leading automotive manufacturers and tech giants like Qualcomm and Intel to promote the widespread implementation of native intelligent cockpits [3]

Group 1: Financing and Investment - Recently, Mianbi Intelligence successfully completed a new round of financing amounting to several hundred million yuan, led by Hongtai Fund, Guozhong Capital, Qingkong Jinxin, and Moutai Fund [1] - Since 2024, Mianbi Intelligence has maintained a steady financing pace, completing three rounds of financing, with significant investments from various venture capital firms [1] - Mianbi Intelligence and Zhipu AI are among the few companies that have successfully secured continuous financing amidst a challenging environment for large model companies [1] Group 2: Commercialization in Automotive Sector - Mianbi Intelligence is accelerating its commercialization process, particularly in the automotive industry, with the launch of the "Little Steel Cannon Super Assistant cpmGO," the world's first pure edge-side intelligent assistant for vehicles [2] - The debut of the MAZDA EZ-60, equipped with Mianbi's edge-side model, marks a new phase in the commercialization of edge-side large models in automotive cockpits [2] - The company has established partnerships with leading automotive manufacturers such as Changan Automobile, SAIC Volkswagen, and Great Wall Motors to promote large-scale deployment of edge-native intelligent cockpits [2] Group 3: Expansion into Vertical Industries - Mianbi Intelligence is also making strides in vertical sectors such as law and education, contributing to the development of national-level legal AI infrastructure [3] - The company has assisted in the launch of a judicial vertical large model that has supported over 291,000 cases and generated 11,600 draft documents since its trial run in January 2024 [3] - In education, Mianbi has partnered with Tsinghua University to introduce an AI learning assistant, aiming to create an automated classroom model with a student graduation rate exceeding 40% [3] Group 4: Technological Advancements - Mianbi Intelligence's edge-side model capabilities are continuously evolving, with the MiniCPM series gaining widespread recognition [4] - The MiniCPM-o 2.6 model features 8 billion parameters and supports innovative functionalities such as real-time interaction, achieving international leadership in image understanding and speech processing [4] - The MiniCPM series has surpassed 10 million downloads, establishing itself as a technical benchmark for edge-side large models globally [4]

Core Insights - Recently, Mianbi Intelligent completed a new round of financing amounting to several hundred million yuan, led by Hongtai Fund, Guozhong Capital, Qingkong Jinxin, and Moutai Fund, marking the third round of financing since 2024 [1][2] - Mianbi Intelligent has rapidly developed a complete matrix of full-modal, multi-modal, and foundational models, continuously pushing the boundaries of edge large model capabilities [1] - The MiniCPM series has achieved over 10 million downloads, recognized as the most downloaded and popular Chinese large model on Hugging Face in 2024 [1] Financing and Investment - The recent financing will further establish Mianbi Intelligent's efficient large model technology and product barriers, accelerating industry empowerment and ecological expansion [2] - The company aims to promote the large-scale application of "edge brains" across various industries by collaborating with upstream and downstream sectors [2] Product Development - In September 2024, Mianbi Intelligent released the MiniCPM 3.0 model, outperforming GPT-3.5 with 4 billion parameters [1] - The MiniCPM-V 0.6 model, launched in August 2024, achieved state-of-the-art results in single-image, multi-image, and video understanding with only 8 billion parameters, matching GPT-4V capabilities [1] - The first full-modal model, MiniCPM-O 2.6, was introduced in January 2025, enabling real-time interaction with 8 billion parameters [1] Applications and Collaborations - Mianbi Intelligent launched the "MiniCPM Super Assistant cpmGO," the world's first pure edge intelligent assistant for vehicles [2] - The company participated in the development of the "Faxin Legal Foundation Model," which has been released by the Supreme People's Court [2] - In collaboration with Tsinghua University, Mianbi Intelligent introduced the AI Student Growth Assistant "Qingxiaoda," providing personalized intelligent assistants for all undergraduate students [2]

vivo端侧大模型团队 投稿 量子位 | 公众号 QbitAI 在端侧设备上处理长文本常常面临计算和内存瓶颈。 vivo AI研究院 推出的EdgeInfinite算法专为端侧设备设计，让设备处理超长文本时更加高效流畅，该方法能够在不到10GB GPU内存的设 备上处理长达128K tokens的输入。 该研究成果已中稿ACL 2025。 以下是更多详细内容介绍。 EdgeInfinite:解决端侧设备长文本处理的高效算法 端侧LLM在实际应用中会遇到很多长文本输入的场景（例如通话摘要和个人文档总结），但由于端侧设备的资源限制，现有的LLM在部署到 端侧后都无法处理很长的上下文。 这是由于现在LLM都是基于Transformer架构，其计算耗时和内存占用会随着输入长度增加而显著增长，尤其当需要将Transformer类模型 部署到端侧设备上时，面临的挑战会愈发突出。 为了解决这类问题， vivo AI研究院 提出了一种用于端侧设备的长文本算法—— EdgeInfinite ，该算法通过一个可训练的 门控记忆模块 将记忆压缩算法集成到了 Transformer架构 中。 本方法与原生的Transformer架构 ...

Core Insights - The smartphone industry is undergoing an AI revolution, with manufacturers increasingly integrating AI features into their new products, marking a shift from traditional hardware innovation to AI-driven functionalities [2][5][14] - IDC forecasts a dramatic increase in AI smartphone shipments in China, with a year-on-year growth of 591% in 2024, and a penetration rate rising from 3% in 2023 to 22% [4] - The competition among smartphone manufacturers is shifting from hardware specifications to AI capabilities, emphasizing the need for end-to-end AI design from chips to operating systems [8][13] Group 1: Industry Trends - The AI smartphone market is expected to reach 1.18 billion units by 2025, accounting for 40.7% of the overall market [4] - High-end smartphones priced above $600 are projected to exceed 30.9% of the market share, with AI features contributing 75% of their premium pricing [4] - The average replacement cycle for smartphones has extended to 51 months, prompting manufacturers to focus on AI to drive consumer upgrades [5] Group 2: Technological Developments - The new generation of smartphones must feature advanced AI capabilities, including large model computing power, system-level AI integration, and proactive service in various scenarios [8][16] - AI's impact on imaging technology is significant, with innovations allowing for real-time analysis and optimization of images, enhancing capabilities beyond traditional photography [10][11] - The relationship between hardware manufacturers and AI developers is evolving, with companies like Qualcomm and Huawei creating ecosystems that support AI development and deployment [17][22] Group 3: Competitive Landscape - Major smartphone manufacturers are divided into three camps: Apple, Huawei, and an open ecosystem represented by brands like Xiaomi and Honor, each pursuing different AI strategies [20][22] - Huawei is positioned to lead in the AI smartphone market due to its strong R&D investment and technological capabilities in AI chipsets and cloud collaboration [22][23] - The future of smartphones may not solely rely on traditional devices, raising questions about the evolution of AI-native smart devices beyond current smartphones [23][24]

Mixture-of-Experts（MoE）在推理时仅激活每个 token 所需的一小部分专家，凭借其稀疏激活的特点，已成为当前 LLM 中的主流架构。然而，MoE 虽然显著降低 了推理时的计算量，但整体参数规模依然大于同等性能的 Dense 模型，因此在显存资源极为受限的端侧部署场景中，仍然面临较大挑战。 思考 现有的主流解决方案是专家卸载（Expert Offloading），即将专家模块存储在下层存储设备（如 CPU 内存甚至磁盘）中，在推理时按需加载激活的专家到显存进行 计算。但这一方法存在两大主要缺陷： 本文的核心思考是，在专家卸载方案中，需要将专家模块加载到显存，主要是为了在 GPU 上执行高效的矩阵运算。换句话说，如果专家的计算过程能够绕过矩阵 运算的需求，就可以避免将专家权重加载到显存，从而根本上规避频繁加载带来的开销。直观来看，专家模块本质上是一个神经网络，用于建模输入到输出的映 射。如果能够在推理前预先计算出所有可能的输入 - 输出对应关系，并将其存储为查找表，那么在推理时即可用简单的查找操作代替矩阵运算。 为了解决上述问题，来自北大和华为诺亚的研究人员提出了 Mixture-of-Lo ...

金磊 发自 凹非寺 量子位 | 公众号 QbitAI 端侧大模型圈子的 《速度与激情》 ，就这么水灵灵地上演了。 坐标上海车展，在长安马自达新车发布之际，车上的 智能座舱 竟然成了大亮点之一。 因为速度着实有点太快——从零到量产，只花了10个月的时间！ 要知道，这件事儿在汽车领域里面，一般都是要按"年"这个单位来计算。 而且啊，搞出这件事的，还是车圈的一位"新手"—— 面壁智能 。 没错，就是那个在大模型圈里用"以小搏大"姿势出圈的端侧大模型玩家。 他家当家模型产品"面壁小钢炮"，一直引领全球端侧 AI 性能与算法创新之先，是响当当的端侧模型扛把子！ 面壁在端侧以不足1B到8B的模型尺寸，实现了惊人的端侧GPT-4V、GPT-4o效果，前不久发布了全球首个全模态端侧模型。 超绝口碑，来自高效低成本、以小搏大，在今年年后也常被人称为 "端侧 DeepSeek " 。 它所发布的智能座舱产品，叫小钢炮超级助手 cpmGO ，是行业首个由纯端侧大模型驱动的智能助手。 整体来看，cpmGO具备以下几个特点： 快准稳 此举可谓是一鸣惊人，一举刷新行业纪录，一步迈进了"月"的计量单位。 91%超高执行准确率，交互如行云流 ...