中国工程院院士郑纬民：企业应聚焦大模型微调与推理 实现技术与业务场景融合

Core Viewpoint - The integration of large model inference systems can significantly enhance the high-quality development of listed companies, emphasizing the importance of "model fine-tuning" and "model inference application" [1][3]. Group 1: Model Development and Application - The lifecycle of artificial intelligence large models includes data acquisition, preprocessing, model training, fine-tuning, and inference, with model training being the most critical phase [3]. - Due to the lack of specialized domain data, foundational large models require "model fine-tuning" to adapt to specific industry scenarios, transforming general capabilities into specialized ones for sectors like healthcare, finance, and manufacturing [3]. - Companies are advised to leverage existing foundational large models from specialized tech firms like DeepSeek and Huawei, focusing on fine-tuning and inference applications rather than starting from scratch [3]. Group 2: AI PC and Its Implications - The architecture of large model inference systems centers around GPUs, which provide superior computational power and bandwidth, leading to the emergence of "AI PCs" [4]. - AI PCs are expected to become a significant industry, potentially allowing individuals to possess personalized intelligent assistants within the next couple of years [4]. - Various applications of AI PCs have been identified, such as enhancing customer service efficiency in banking and automating design processes in chip development, addressing industry pain points [4]. Group 3: AI as a Competitive Advantage - AI is positioned as a core infrastructure for companies, moving beyond being merely an IT tool, with the next competitive battleground focusing on the integration of data algorithms and computational efficiency [5][6]. - AI serves as a second engine for growth, reshaping products, services, and operational models, thereby creating new revenue streams and improving profit margins [6]. - The ability to convert data into decision-making power through AI enhances internal processes, reduces operational costs, and establishes formidable competitive barriers [6].