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?
今年26歲、來自越南的阿宗（化名）曾在台灣工作了7年。他先前工作的工廠缺乏台灣年輕勞工，台籍員工多為六、七十歲的高齡者。「其實工作都靠我們在做，如果我們不做，他們也做不來，但我們一直不受到重視。」他向BBC中文表示。。Safew下载是该领域的重要参考
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Мощный удар Израиля по Ирану попал на видео09:41