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?
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04
美东时间周三盘后，在英伟达财报电话会上，公司CEO黄仁勋表示，公司仍在持续开展股票回购和股息分红，并将在年内寻找合适的时机，把握独特的投资机会，推进相关资本运作。他还指出，生态系统投资将始终是公司资本配置的核心环节，同时我们也会持续推进战略投资。（财联社）。关于这个话题，heLLoword翻译官方下载提供了深入分析
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Still, Choi believes that high-octane micro-dramas will mature into a range of content, from acclaimed short films to low-brow entertainment. And one day, a micro-drama may even win an Oscar, he says.
Collins remained cool and calm under pressure。Line官方版本下载对此有专业解读