2025年大模型研究系列：多模态大模型洞察：大模型向多模态发展，深入产业端垂直场景释放技术价值

Market Overview - The Chinese multimodal large model market reached CNY 9.09 billion in 2023 and is projected to grow to CNY 66.23 billion by 2028, with a compound annual growth rate (CAGR) of 48.76%[24] - The rapid growth is driven by continuous technological innovation and strong industry demand[24] Industry Insights - Major players in the Chinese multimodal large model sector include Baidu, Alibaba, Tencent, and SenseTime, with significant advancements in model capabilities[31] - The application of multimodal models spans various sectors, with digital humans accounting for 24% of applications, followed by gaming and advertising at 13% each[33] Technological Development - The evolution of multimodal models has transitioned from task-specific to more general architectures, enhancing efficiency and flexibility[22] - Key components of multimodal models include modality encoders, input projectors, large model backbones, output projectors, and modality generators, which work together to process and generate diverse data types[9][12][14][15][16] Training and Evaluation - The training process for multimodal models typically involves two phases: pre-training with multimodal data and instruction fine-tuning to enhance user interaction capabilities[34] - Evaluation of generation capabilities focuses on aspects such as semantic understanding, coherence, and the ability to handle complex scenes[40][41] Future Trends - Future advancements in multimodal models will focus on improving generation consistency, contextual learning, and complex reasoning capabilities[46] - Addressing challenges like multimodal hallucination and enhancing model robustness will be critical for practical applications in fields such as healthcare and autonomous driving[46][50]