大模型如何从业务发展基建升级为新引擎？

Core Insights - The article discusses the advancements in AI large model applications by Dida Chuxing, highlighting its impact on various business operations and the enhancement of user experience [1][2]. Group 1: AI Large Model Development - Dida Chuxing has been building its own large model capabilities for two years, aiming to provide customized and efficient support for its business operations [1]. - The large model applications have expanded from customer service to areas such as content safety, product research innovation, business development, and intelligent office tasks [1][2]. Group 2: New Platform and Integration - Recently, Dida Chuxing launched the "Tianshu System," a large model aggregation platform that integrates over ten models, including Deepseek and Tongyi Qianwen, to enhance employee productivity and problem analysis [4]. - The Tianshu System supports API integration for AI model processing interfaces, facilitating deeper application of large models across departments [4]. Group 3: Future Directions - The company plans to continue expanding the application range of its self-built large model capabilities while developing a more comprehensive large model capability from technical to application levels [4]. - Dida Chuxing envisions AI becoming a new engine for its business development through the parallel development of self-built and aggregated large models [4].