早在2014年，国务院印发的《关于促进旅游业改革发展的若干意见》就已明确，“强化全社会依法休假理念，将带薪年休假制度落实情况纳入各地政府议事日程，作为劳动监察和职工权益保障的重要内容，推动机关、企事业单位加快落实职工带薪年休假制度。鼓励职工结合个人需要和工作实际，分段灵活安排带薪年休假”。
The idea: give an AI agent a small but real LLM training setup and let it experiment autonomously overnight. It modifies the code, trains for 5 minutes, checks if the result improved, keeps or discards, and repeats. You wake up in the morning to a log of experiments and (hopefully) a better model. The training code here is a simplified single-GPU implementation of nanochat. The core idea is that you're not touching any of the Python files like you normally would as a researcher. Instead, you are programming the program.md Markdown files that provide context to the AI agents and set up your autonomous research org. The default program.md in this repo is intentionally kept as a bare bones baseline, though it's obvious how one would iterate on it over time to find the "research org code" that achieves the fastest research progress, how you'd add more agents to the mix, etc. A bit more context on this project is here in this tweet.
，推荐阅读新收录的资料获取更多信息
ВсеРоссияМирСобытияПроисшествияМнения。新收录的资料对此有专业解读
Фото: Алексей Даничев / РИА Новости
bake lab：首次登陆上海，补齐喜茶在烘焙品类的实验性表达。