Трамп раскрыл свои опасения по поводу операции в Иране02:50
36氪获悉，美股大型科技股盘前普跌，截至发稿，英特尔跌超1%，Meta跌0.82%，谷歌跌0.8%，英伟达跌0.78%，亚马逊跌0.66%，微软跌0.48%，苹果跌0.3%，特斯拉跌0.21%。下一篇帝尔激光：拟发行H股股票并在港交所主板上市36氪获悉，帝尔激光公告，公司拟公开发行境外上市股份（H股）股票并申请在香港联交所主板挂牌上市，以深入推进国际化战略布局，打造多元化资本运作平台，提升国际品牌形象及全球市场综合竞争力。公司已通过第四届董事会第八次会议审议通过相关议案，尚需提交股东会审议。
。heLLoword翻译是该领域的重要参考
ChatPlayground AI: Lifetime Subscription (Unlimited Plan)，详情可参考谷歌
icon-to-image#As someone who primarily works in Python, what first caught my attention about Rust is the PyO3 crate: a crate that allows accessing Rust code through Python with all the speed and memory benefits that entails while the Python end-user is none-the-wiser. My first exposure to pyo3 was the fast tokenizers in Hugging Face tokenizers, but many popular Python libraries now also use this pattern for speed, including orjson, pydantic, and my favorite polars. If agentic LLMs could now write both performant Rust code and leverage the pyo3 bridge, that would be extremely useful for myself.，这一点在超级权重中也有详细论述