中国商报（记者 赵熠如 文/图）9月15日，重庆小易智联智能技术有限公司（以下简称小易智联）董事长杨振在接受中国商报记者采访时表示，小易智联研 发的XYZ端侧模型可帮助企业摆脱对高性能显卡的依赖。 重庆小易智联智能技术有限公司董事长杨振。 据介绍，XYZ端侧模型是小易智联全自研、全正向、全国产的AI模型。它凭借创新架构，突破"卡脖子"难关，摆脱对高性能显卡的依赖，具备低资源需求、 低成本部署特性，可广泛应用于多场景。XYZ模型的整体大小仅10MB，比传统AI模型缩小99%以上；耗电量仅0.008度/小时，部署成本降低99%以上。该模 型实现从芯片到算法的全链条国产化，所有数据处理100%本地化运行，为关键基础设施和敏感行业提供了安全可靠的AI解决方案。 "经过中国信通院的代码审核，我们的国产化自研率已达到99.66%，意味着这是一个完全由我们一行一行的代码构建起来的基座模型。"杨振说。 "当前提倡'人工智能+制造'，其目标是打造'黑灯工厂'，但企业自建算力中心、更换生产线设备的成本极高。"杨振说，"XYZ模型可显著降低成本，帮助企 业在算力层面摆脱对GPU的依赖，突破国际算力垄断。XYZ模型仅靠CPU即可完成 ...

Core Concept - The article focuses on the management of AI core marketing keyword libraries, aiming to help companies efficiently build, optimize, and apply keyword libraries using intelligent tools to enhance marketing precision and conversion efficiency [2][4]. AI Core Marketing Keyword Library - The AI core marketing keyword library is a marketing keyword management system built on artificial intelligence technology, which automatically collects, analyzes, and optimizes keyword data to help companies accurately target their audience [4][5]. - The system integrates various intelligent functions, such as one-click content generation and AI live streaming, enabling efficient management of keyword libraries [4][5]. Building and Optimizing Keyword Libraries - Key to building an efficient and precise AI core marketing keyword library is the systematic integration of data and intelligent analysis capabilities [5]. - The process involves multi-channel data collection, semantic analysis, and keyword mining based on various metrics like search volume and competition [5][6]. - Continuous updating mechanisms are essential to ensure the keyword library reflects the latest market demands and user behaviors [5][6]. Application in Marketing Activities - Effective application of the AI core marketing keyword library can directly enhance marketing effectiveness by optimizing advertising strategies and ensuring content matches user search intent [7][10]. - The one-click content generation tool allows for rapid production of customized marketing content, significantly shortening the creation cycle [7][10]. - Real-time monitoring of keyword performance enables dynamic adjustments to marketing resource allocation, improving conversion efficiency [7][11]. Case Studies and Practical Applications - A leading e-commerce company implemented an AI core marketing keyword library management system, resulting in a 30% increase in ad click-through rates and a 25% improvement in conversion efficiency [13]. - The integration of intelligent tools and continuous monitoring of key metrics like click rates and conversion efficiency drives data-driven decision-making, enhancing overall marketing strategies [13][15]. Future Trends - The evolution of AI core marketing keyword library management is expected to undergo significant changes with advancements in cross-modal semantic analysis technology, allowing for automatic keyword capture across various media [14]. - Predictive keyword library expansion features will proactively recommend high-potential emerging keyword combinations based on industry data and user behavior patterns [14].

Core Viewpoint - The "Enterprise Brain" model application project by Jincheng Bank has been awarded the "Best Generative AI Application Project in China" at the 2025 China Awards by The Asian Banker, recognized for its revolutionary impact on bank back-office operations and deep integration of AI technology with financial scenarios [1][3]. Group 1 - The Asian Banker China Awards program, established for over 10 years, is considered the "Oscar" of the Asia-Pacific financial industry, with nearly 600 submissions evaluated through a multi-dimensional assessment process [3]. - Jincheng Bank's project improved traditional inefficient processes, such as compliance management and document handling, by creating an enterprise knowledge base, intelligent customer service assistant, intelligent coding support plugin, and intelligent compliance cockpit [3]. - The call center quality inspection process has achieved up to 100% automation from an initial 5% manual review, and AI-assisted coding has increased development efficiency by 40%, significantly enhancing operational efficiency while reducing costs and controlling risks [3][4]. Group 2 - The "Enterprise Brain" model, as a large language model, excels in natural language processing and conversational tasks, with future potential for larger parameter scales, multi-modal capabilities, and enhanced reasoning model logic [4]. - Jincheng Bank has accumulated rich experience and technological achievements in the field of digital transformation, contributing to the digital transformation of the financial industry with its "Jincheng Wisdom" [4]. - The bank plans to continue deepening AI technology applications and exploring the extensive use of large models in the financial sector to drive continuous innovation and development [4].