二是以Meta为代表的互联网科技巨头，利用其本身的优势及在AI技术上的积累，也在积极推出新的智能硬件。比如Meta，重点是推进智能眼镜的研发，其与雷朋合作的Ribbon Meta系列智能眼镜，已实现数百万台的销量，成为其布局后智能手机时代的重要抓手。
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One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.
数字化转型浪潮中，企业正面临三大关键挑战：出海全球化需要开源架构实现多云部署；降本增效要求数据湖技术减少拷贝、提升引擎性能；融合 AI 驱动内部提效及业务创新。