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In the new era of AI-driven technological innovation, large language models (LLMs) are leading a revolutionary transformation in scientific research paradigms. As a significant initiative in China's LLM sector, the development trajectory of the ZiDongTaiChu multimodal large model demonstrates substantial progress in domestic innovation within China's artificial intelligence domain. This paper presents a comprehensive overview of the technological evolution and innovative achievements of the ZiDongTaiChu multimodal large model. It elaborates on the breakthrough advancements in cross-modal self-supervised learning, adaptation of domestically developed operators, and the evolution of multimodal technologies, with particular emphasis on the technological progression from tri-modal to comprehensive modal capabilities. The study provides an in-depth analysis of representative applications across the industrial manufacturing, healthcare, and education sectors. Finally, it examines the collaborative innovation ecosystem model centered around the ZiDongTaiChu multimodal large model, elucidating the practical implementation pathway for intelligent transformation of traditional industries through large model technology.

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Exploration and Practice of ZiDongTaiChu Multimodal Large Model

  • 章节

  • 发表日期：

    2026年

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  • Jinqiao Wang,
  • Beiying Yang

摘要

In the new era of AI-driven technological innovation, large language models (LLMs) are leading a revolutionary transformation in scientific research paradigms. As a significant initiative in China's LLM sector, the development trajectory of the ZiDongTaiChu multimodal large model demonstrates substantial progress in domestic innovation within China's artificial intelligence domain. This paper presents a comprehensive overview of the technological evolution and innovative achievements of the ZiDongTaiChu multimodal large model. It elaborates on the breakthrough advancements in cross-modal self-supervised learning, adaptation of domestically developed operators, and the evolution of multimodal technologies, with particular emphasis on the technological progression from tri-modal to comprehensive modal capabilities. The study provides an in-depth analysis of representative applications across the industrial manufacturing, healthcare, and education sectors. Finally, it examines the collaborative innovation ecosystem model centered around the ZiDongTaiChu multimodal large model, elucidating the practical implementation pathway for intelligent transformation of traditional industries through large model technology.