[ITmedia News] ファミマのマルチコピー機「3月9日にアクセス集中のおそれ」……「人気コンテンツ」最終日のため

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You can contact or verify outreach from Connie by emailing [email protected] or [email protected], or via encrypted message at ConnieLoizos.53 on Signal.

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?

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「十日是一個很倉促的時間,牽涉不同家庭成未來計劃的部署」,陳先生一個家庭內已有分歧,爸爸抗拒原址重建,「有很多老人家走了(去世了),他覺得住得不舒服」;媽媽雖不介意跨區安置,但看重交通便利,擔心成為新社區的「開荒牛」,故希望可返回大埔。

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