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?
第十七条 共同违反治安管理的，根据行为人在违反治安管理行为中所起的作用，分别处罚。。搜狗输入法下载对此有专业解读
Follow topics & set alerts with myFT。关于这个话题，下载安装汽水音乐提供了深入分析
Лукашенко впервые отреагировал на события в ИранеЛукашенко направил соболезнования президенту Ирана Пезешкиану
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