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?
see how it contributes to the FOSS funding ecosystem.
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会谈后，两国总理共同见证签署绿色转型、海关、体育、媒体等领域合作文件。。51吃瓜对此有专业解读
另一方面，和几乎没有变化的外观一样，S26 与 S26+ 的硬件基础配置也没有掀起什么波澜——，详情可参考同城约会
第一百一十三条 治安案件调查结束后，公安机关应当根据不同情况，分别作出以下处理：