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?
Раскрыты подробности похищения ребенка в Смоленске09:27
。Line官方版本下载对此有专业解读
中国有互联网/AI 巨头，海外何尝不是如此？像 Meta、Amazon 这样的老对手，本身还拥有强势的平台与生态，它们未必心甘情愿对 Google 开放，让 Gemini 来自动化一切。无论是以隐私、安全，还是平台规则为由，设置限制、提高接入门槛，博弈必然发生，争斗将进一步白热化。，推荐阅读搜狗输入法下载获取更多信息
（四）代替他人或者让他人代替自己参加考试的。，推荐阅读搜狗输入法2026获取更多信息
2024年12月24日 星期二 新京报