Core Viewpoints - The commercialization of large models has entered a new stage, shifting from competition in model capabilities to industry implementation, scenario empowerment, and sustainable monetization [7] - The core of industrial-grade AI is not a single technological breakthrough but a self-circulating loop formed by the interaction of models, terminals, and data [7] Group 1: Industry Context and Evolution - The focus of technological evolution has shifted from scale expansion to a fundamental question: how can intelligence continuously generate value in the physical world [2] - The next competition in large models will not be about the models themselves but about the self-driven loop formed by models, terminals, data, and business flows [3] - The cloud is no longer the only stage for intelligence; terminals have become the entry point for perceiving the physical world, and data feedback continuously nourishes the model [4] Group 2: Company Background and Development - The company has been developing for seven to eight years, founded by core technical team members from major firms like Baidu, Alibaba, and Huawei, focusing on large model algorithms, industry models, and intelligent applications [12] - The company has established various R&D centers nationwide and is recognized as a key small giant enterprise in the national specialized and innovative sector [12] Group 3: Commercialization Strategy - A successful large model system must possess three essential components: self-research technology, standardized product capabilities, and innovative business models [13][21] - The value of AI in industries is transitioning from efficiency tools to becoming the AI brain of enterprises, reconstructing business processes and decision-making systems [13] Group 4: Application Cases - The company has served nearly 100 quality enterprises across various sectors, including enterprise services, industrial manufacturing, healthcare, media, and education [24] - In enterprise services, automation of workflows and intelligent office assistants have been successfully implemented, significantly improving efficiency [25][26] - In industrial manufacturing, large models are integrated with visual and automation capabilities to optimize production processes, leading to substantial energy savings [29] - In healthcare, the company collaborates with community hospitals to provide services that integrate common diseases and medications into a large model for enhanced diagnostic support [31] Group 5: Future Directions and Deployment - The company is exploring various deployment options, including private, public, and hybrid cloud solutions, ensuring tight integration with hardware for optimal performance [35] - The focus is on creating a comprehensive service system that includes 24/7 online support and pre-sales performance testing to enhance customer satisfaction [36]