然而,现实远比这个复杂。 Pre train和 post train 阶段都经历了巨大的挑战,比如 data quality 和 data efficiency 的瓶颈。我们尝试通过 OCR 提取文本、利用电影字幕、采用多模态数据等方式来扩展数据来源,但发现多模态数据的信息密度远低于文本,难以提升模型的智能。
and heating or cooling efficiency should also be considered in the design and evaluation process of BTMS. Therefore, it is necessary to explore a multi-objective optimization system to design liquid ...