Core Insights - The implementation of the "Artificial Intelligence + Action" strategy by the State Council aims to deeply integrate AI with various industries, positioning industrial-grade AI as a core driver for high-quality economic development in China [1][4] - The launch of "Wanlian Mole," the first full-industry AI model in China, is expected to leverage a vast amount of data and cover 97 major industry categories, enhancing the application of AI in the economy [1][3] Group 1: AI Model Features - "Wanlian Mole" distinguishes itself from general-purpose models by utilizing high-quality, credible data from the Wanlian Yida industrial internet ecosystem, enabling it to understand industry pain points and provide accurate answers [3][4] - The model includes specialized functions such as industry knowledge Q&A, AI research report creation, price forecasting, and enterprise insights, marking a significant advancement from mere conversational capabilities to informed decision-making [3][4] Group 2: Application and Performance - The AI research report creation feature offers eight types of professional templates, allowing users to generate high-quality research content through simple natural language input, thus supporting enterprise decision-making [3][4] - The price prediction function boasts an accuracy rate exceeding 90% across various categories, including black and non-ferrous metals, construction materials, energy, and agriculture, aiding procurement personnel in optimizing purchasing strategies [4] Group 3: Industry Context and Future Outlook - The development of industrial AI models is supported by China's comprehensive industrial system and strong policy backing, providing a fertile ground for growth [4] - Experts believe that the advancement of industrial AI will contribute to China's leadership in the next wave of global industrial technology transformation [4]

Core Insights - The article discusses the transformative potential of industry-level AI models in driving the real economy and enhancing efficiency across various sectors [2][4][8]. Group 1: Industry-Level AI Models - Industry-level AI models are designed to address specific pain points within sectors, offering significant advantages in data integration and problem-solving capabilities [3][4]. - These models can effectively reduce hidden costs and improve operational efficiency by leveraging structured data and dynamic industry maps [6][9]. Group 2: Challenges and Solutions - The transition from general AI models to industry-specific models presents challenges, including the need for continuous training to avoid errors in business predictions [5]. - A top-down approach is necessary to establish cross-industry data standards and accelerate the commercialization of AI applications [7]. Group 3: Future Directions - The future of industry-level AI models is expected to involve multi-modal integration, energy-efficient computing, and a shift from isolated applications to interconnected industry chains [9]. - China's rapid advancement in AI applications positions it to lead globally, with a focus on practical implementation and continuous development [8].

0:00 首个覆盖全产业的AI大模型上线 "通用大模型可以无所不知、无所不晓，任何问题都能即兴发挥。但答复的准不准、对不对，则需要用 户自己判断。"万联易达集团副总裁杜新凯在接受第一财经《数新风》栏目采访时如是说。他指出，通 用AI大模型让大众对未来社会发展有了很多想象空间，但当AI面向更具专业要求的产业问题时，则暴 露出了"专业性不足"的问题。 为进一步实现AI能力在产业端的应用落地，万联易达集团于近日正式上线了全产业AI大模型"万联摩 尔"。据了解，作为首个面向全产业打造的AI大模型，万联摩尔现阶段可调用产业生态沉淀的百亿量级 数据和外部可信数据，正计划分批次覆盖国民经济涉及到的97个行业大类。 相较于通用大模型，万联摩尔一方面沉淀了万联易达产业互联网生态系统产生的高质量可信数据，另一 方面使用了"融合产业动态图谱的结构化思考技术"，使其具备了产业数据覆盖全、产业痛点理解深、产 业问题回答准的显著优势。 产业级AI的崛起：从"通用"到"专用"的必然路径 随着国务院《关于深入实施"人工智能+"行动的意见》印发，推动AI与产业深度融合已成为国家战略。 另据行业数据显示，截至2025年第三季度，中国垂直领域大模 ...

Core Viewpoint - The launch of "Wanlian Moore," the first AI model covering the entire industry, aims to enhance the application of AI capabilities in various sectors, addressing the limitations of general AI models in specialized industrial contexts [2][4][6]. Group 1: AI Model Development - Wanlian Moore is designed to utilize a vast amount of high-quality data, integrating over 10 billion data points from the Wanlian Yida industrial internet ecosystem and external trusted sources, with plans to cover 97 major industry categories [2][4]. - The model employs "structured thinking technology based on an industrial dynamic map," allowing for comprehensive data coverage and precise understanding of industry pain points [2][6]. Group 2: Industry AI Trends - The Chinese government has emphasized the deep integration of AI with industry as a national strategy, with projections indicating that the number of vertical AI models in China will reach hundreds by Q3 2025 [5]. - The shift from general AI models to specialized industry AI models is seen as essential for addressing data sourcing, capability matching, data security, and computational power challenges [5][6]. Group 3: Technical Capabilities - Wanlian Moore's foundation is built on a robust and trustworthy data base, which is crucial for its functionality [6][8]. - The model's core technology allows for the disaggregation of complex industrial problems into manageable sub-problems, enabling expert-level analysis [6][8]. Group 4: Economic Impact - The integration of industry AI models is expected to create a 20% increment in the digital economy and potentially contribute 80% to economic growth through the digital transformation of traditional industries [8][12]. - The model's application is anticipated to enhance corporate profits, industry value-added, and national GDP as it becomes more widely adopted [8][12]. Group 5: Future Outlook - The future development of industry AI is expected to generate significant industrial and commercial value, with a focus on deep integration of software, hardware, models, and applications [13][14]. - Wanlian Moore aims to continuously enhance its capabilities across industries while fostering an open and inclusive industrial internet ecosystem to support high-quality development in China [13][14].