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多模态文本智能技术方案
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合合信息推出多模态文本智能技术落地方案,助力AI实现智能推理
Core Insights - The development of multimodal large models is becoming a significant direction in AI, with a recent forum focusing on "Multimodal Text Intelligence Models" attracting considerable attention from experts and scholars [1][4]. Group 1: Multimodal AI Development - Multimodal AI integrates various forms of information, including text, images, audio, and video, to enhance understanding and communication [4]. - The 2025 Gartner AI maturity curve indicates that multimodal AI will become a core technology for enhancing applications and software products across industries in the next five years [4]. Group 2: Technical Innovations - The "Multimodal Thinking Chain" technology presented by Harbin Institute of Technology breaks down reasoning logic into interpretable cross-modal steps, leading to more accurate conclusions [4]. - A systematic OCR illusion mitigation solution was introduced to improve the visual text perception capabilities of multimodal large models [4]. Group 3: Practical Applications - The "Multimodal Text Intelligence Technology" solution by Hehe Information aims to provide a comprehensive understanding of multimodal information, addressing the challenges of semantic disconnection and layout relationships in complex scenarios [15]. - This technology extends the processing of text from traditional documents to various media, including reports, financial statements, and videos, enhancing AI's ability to understand and interpret complex information [14][15]. Group 4: Industry Impact - The demand for AI systems is shifting from mere functionality to business empowerment, with the "Multimodal Text Intelligence Technology" solution designed to evolve AI from a supportive tool to a decision-making business partner [15]. - Applications of this technology have been initiated in sectors such as finance, healthcare, and education, focusing on intelligent reconstruction of business processes through precise perception and reliable decision-making [15].