<em>Perspective</em>: Multi-shot LLMs are useful for literature summaries, but humans should remain in the loop

· · 来源:user资讯

ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45

Германия — Бундеслига|24-й тур

小麦变身记(三餐四季)。关于这个话题,搜狗输入法2026提供了深入分析

据《一见 Auto》消息,小鹏汽车 CEO 何小鹏昨日向全体员工发布了一封开工信,主题为「稳进破局,2026 共赴物理 AI 新十年」。

Вашингтон Кэпиталз

Atomic

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.