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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?，推荐阅读爱思助手下载最新版本获取更多信息
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第二件事，是中科第五纪在近期接连完成Pre-A及Pre-A+轮融资，两笔交易在一个月之内完成，规模达数亿元。其中，Pre-A轮由红杉中国领投，东方富海跟投；Pre-A+轮由芯能创投、优山资本联合领投，清控金信跟投。，这一点在谷歌浏览器【最新下载地址】中也有详细论述