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?
如果将 iPhone 发布的 2007 年视为智能手机的元年，那么到今天，已经狂奔了近二十年。
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物产丰富的桃源村里，没有金钱逻辑，奉行“以物易物”，只有人与人相处的温暖和快乐。波波说：“我们希望把生活中细小的温暖，借由游戏，传达给游戏外的每一位玩家，让他们也能敞开胸怀，不吝啬自己的善意。”，推荐阅读旺商聊官方下载获取更多信息
The battle between Netflix and Paramount over the fate of Warner Bros. Discovery has concluded with a decidedly odd outcome: Everybody won. At least that’s Wall Street’s opinion on the saga.
这则消息如同一枚震撼弹，瞬间搅动了沉寂已久的中国游艇产业。