最终，月之暗面还是要回到如何平衡算力成本和用户规模这一老问题上，尤其是在标准化 API 市场中，价格依然是最具吸引力的优势。
Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.
。关于这个话题，51吃瓜提供了深入分析
It then uses the standard Dijkstra algorithm on the detailed local map within your start cluster to find the best paths from your actual start location to all border points of that starting cluster.
Credits: This analysis of the 80386 draws on the microcode disassembly and silicon reverse engineering work of reenigne, gloriouscow, smartest blob, and Ken Shirriff.
To find these crucial border points, we employed a clever technique based on the Ford-Fulkerson algorithm. By simulating "flooding" roads with traffic from random start/end points, we could identify the natural bottlenecks – the "minimum cut" in graph theory terms. These bottlenecks became our border points.