资讯
JavaScript’s low bar to entry has resulted in one of the richest programming language ecosystems in the world. This month’s ...
22 小时
XDA Developers on MSNThis ESP32 display shows what I'm listening to on Spotify, while also roasting my music taste
Quips aside, I'm actually a big fan of how this design turned out. I had played around with a basic Spotify controller on a significantly smaller display than this before, so I co ...
To make AI understand your intentions and produce high-quality results, the key lies in prompt engineering. This is a ...
现在的量化交易早就不是简单的技术指标了。真正有效的交易系统需要像一个完整的投资团队一样工作——有专门的分析师收集各种数据,有研究员进行深度分析和辩论,有交易员制定具体策略,还有风险管理团队把关。问题是传统的程序很难模拟这种复杂的协作流程。
Selenium IDE: This is like a beginner’s friend. It’s a browser extension, often for Firefox, that lets you record your ...
3 天
科技行者 on MSN微软14B参数AI:510步训练媲美超大模型数学推理
这项由微软研究院的Ning Shang、Yifei Liu、Yi Zhu、Li Lyna Zhang等研究人员于2025年8月提交的研究成果,以论文《rStar2-Agent: Agentic Reasoning Technical Report》的形式发布在arXiv预印本服务器上。有兴趣深入了解的读者可以通过论文ID arXiv:2508.20722v1访问完整论文,代码和训练配方也已在Git ...
A:rStar2-Agent虽然只有140亿参数,但通过智能体强化学习和工具使用能力,在数学推理上达到了6710亿参数DeepSeek-R1的水平。它的优势包括:训练成本低(只需64个GPU训练一周)、推理效率高(回答长度只有传统模型一半)、准确率更 ...
一些您可能无法访问的结果已被隐去。
显示无法访问的结果