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· · 来源:live资讯

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?

OpenAI周五发布的声明称,亚马逊、英伟达和软银在该轮融资中分别投资了500亿美元、300亿美元和300亿美元。这笔投资使OpenAI的估值达到7300亿美元(未计入投资前),相较于其10月份在二级融资中的5000亿美元估值,实现了大幅增长。OpenAI表示,随着本轮融资的推进,预计其他投资者也将加入。(证券时报)

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行政执法监督机构应当加强对行政执法监督人员的教育培训,提高其政治能力和业务能力。

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