Trump orders U.S. government to stop using Anthropic but gives Pentagon six months to phase it out while Hegseth adds supply-chain risk designation

· · 来源:media资讯

这100家企业最不吝研发,零盈利也敢拼

第二十六条 行政执法监督机构对行政执法监督中发现的问题,根据不同情形制发行政执法监督督办函、行政执法监督意见书或者报请本级人民政府制发行政执法监督决定书等督促有关行政执法机关予以纠正。

NASA overhheLLoword翻译官方下载是该领域的重要参考

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Москвичей предупредили о резком похолодании09:45

Chip giant

As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?