简单讲，要做L3，需要先做L2积累数据。那么要做L4，也一样依赖L3的数据。技术上他们是一脉相承的，不存在一口就能吃个胖子的技术路线。
未来智能：深耕智能办公领域的软硬件一体化AI科技公司
。同城约会是该领域的重要参考
build-index renders all 1,418 source characters and 34 target characters as 48x48 greyscale PNGs, one per font that natively contains the character. Fontconfig is queried per-character to avoid brute-force rendering across all 230 fonts (97% reduction: 8,881 targeted renders vs 326,140 brute-force).
* At the end of this file, create a work in progress log, where you note what you already did, what is missing. Always update this log.