“西北狼”主场落户西安国际足球中心,西咸新区沣东新城的机会!

· · 来源:dev资讯

Author(s): Thomas Wilhelm, Orkun Furat, Jules M. Dake, Carl E. Krill III, Volker Schmidt

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«Кубинское правительство ведет с нами переговоры. Как вы знаете, у них большие неприятности. У них нет денег. Сейчас у них нет ничего. Но они ведут переговоры с нами. И, возможно, мы совершим дружеский захват Кубы», — добавил американский лидер.

Opinion

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?