谭建荣院士：要重视大模型，但千万别忽视小模型

Core Insights - The importance of both large and small AI models is emphasized, with a warning that without small models, the implementation of artificial intelligence becomes challenging [2][3] - Knowledge engineering is identified as a core technology for achieving artificial intelligence, alongside models, computing power, and algorithms [4] Group 1 - The need to focus on large models while not neglecting small models is highlighted, indicating a balanced approach is necessary for AI development [2][3] - Knowledge is categorized into qualitative and quantitative types, with models representing quantitative knowledge [4] - Large models require significant computing power for training on diverse data, underscoring the necessity of substantial computational resources behind big data and models [4]