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“我与中国的故事始于20多年前的太仓。”海瑞恩说,海瑞恩集团在太仓二十余载,从落地发展到深度融入本地产业生态,亲历了中国市场的持续开放与营商环境的不断优化。海瑞恩集团深耕精密制造领域,2004年成立的海瑞恩精密技术(太仓)有限公司,是该集团在中国设立的第一家工厂、亚洲第一家产品生产基地。

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?

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* @param n 数组长度

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