Anthropic「蒸馏」了人类最大的知识库

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而拿下 Meta 这个全球最贪婪的算力吞噬兽,无疑是谷歌向英伟达下达的最强战书。同时,谷歌在底层软件生态上的妥协也立了大功——TPU 近期大幅优化了对 PyTorch(Meta 主导的 AI 框架)的原生支持,这让 Meta 的研发团队终于可以顺滑地将模型迁移到谷歌的硬件上。

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The efficiency depends on the query size relative to the data distribution. A small query in a sparse region prunes almost everything. A query that covers the whole space prunes nothing (because every node overlaps), degenerating to a brute-force scan. The quadtree gives you the most benefit when your queries are spatially local, which is exactly the common case for map applications, game physics, and spatial databases.

Rank-1 linear, factorized embed, sparse gate, param-free norm, low-rank head。业内人士推荐快连下载安装作为进阶阅读