Core Insights - The smartphone industry is expected to experience a significant rebound in 2025, with AI smartphone shipments in China projected to surge by 591% year-on-year in 2024, reaching a penetration rate of 22% from 3% in 2023, and expected to exceed 118 million units, capturing 40.7% of the overall market [1] Industry Trends - The advent of AI, particularly since the launch of ChatGPT in 2022, has begun to reshape user perceptions of smartphone experiences, moving from mere technical specifications to genuine experiential enhancements [1] - As AI becomes more accessible, users are growing weary of mere parameter stacking and are seeking real improvements in user experience [1] - The shift in focus from generic large model development to practical value indicates a transition in the smartphone industry towards more meaningful AI integration [1] Company Strategy - KuSai Intelligent, a veteran in the smartphone industry, has evolved from PCB assembly to creating its own smartphone brand, Koobee, and now focuses on empowering overseas local brands and operators [5] - The company is expanding its strategic vision beyond single product categories to encompass cross-device capabilities, indicating a comprehensive approach to AI hardware development [5] - KuSai's AI strategy emphasizes a "front-end small model + back-end large model" dynamic collaboration, which is crucial for maintaining a competitive edge in the AI era [8][12] AI Development - The focus has shifted from a race for computational power to a more tailored approach that meets specific user needs, with AI capabilities becoming essential for survival in the industry [7] - KuSai has partnered with major players like iFlytek, ByteDance, Alibaba, and Google to integrate mature large models while deploying a vertical small model with approximately 600 million parameters for specific tasks [9] - The small model approach allows for faster responses and enhanced privacy, as data remains local, addressing key concerns for overseas clients [11] Product Innovation - KuSai's AI assistant has evolved to understand natural language and provide personalized services, significantly improving user interaction compared to traditional voice assistants [11] - The company is also venturing into emotional AI hardware, such as desktop robots aimed at children, which are designed to foster emotional connections and provide companionship [19] - The revival of AI-powered digital photo frames represents another innovative product area, transforming traditional displays into interactive family memory keepers [22] Global Impact - KuSai has provided solutions to clients in over 70 countries, ensuring that users across diverse regions can equally benefit from AI advancements, promoting digital equity [23]

采访嘉宾｜尹辰轩，北银金科高级算法专家 编辑｜罗燕珊 大模型时代，金融行业依然站在技术革新的前沿。而在智能投顾这一高度合规、专业性极强的场 景中，大模型的落地不仅是技术挑战，更是业务安全的严峻考验。面对挑战，北银金科采用了"大 小模型协同"的架构思路，尝试在性能、准确性与合规之间找到更优平衡。 "大模型投顾落地的最大技术挑战，在于如何在高合规门槛的业务中避免幻觉和误答。" 北银金科 高级算法专家尹辰轩 表示 ， 金融业务不像通用问答那样容错率高，一旦输出带有承诺收益或判 断错误的内容，不仅影响用户决策，更可能带来法律风险。 在这种背景下，大小模型协同成为一条更为稳妥的路径。一方面，它限制了大模型的职责范围， 主要负责任务扩写与流程编排，核心内容交由小模型完成；另一方面，也提升了整体的性价比 ——在更低算力消耗下，实现更稳定、深入的回答效果。 展望未来，尹辰轩认为，AI 应用架构会逐渐趋于"语言理解 + 工具调用"的组合形态，大小模型协 同也只是更大趋势的一部分。 关于"大小模型协同"的相关思路及其在金融领域的应用情况，尹辰轩近日在接受 InfoQ 采访时做 了简要阐述。更多实践细节他将在 6 月 27～28 ...