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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?
英伟达投资OpenAI，OpenAI的算力需求带动微软采购英伟达芯片，而英伟达的芯片则由台积电代工生产；台积电获得资本开支后持续升级制程，反过来支撑英伟达的技术迭代，同时上游企业还能从下游的股权中获得额外收益。。夫子是该领域的重要参考
--gpu Run on Metal GPU
。im钱包官方下载对此有专业解读
대법원, 내달 12~13일 전국 법원장 간담회 개최…‘사법 3법’ 논의 전망。关于这个话题，WPS官方版本下载提供了深入分析
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