圖像加註文字，自上任起，習近平掀起過多輪反腐行動。Article InformationAuthor, 陳煒斯（Yvette Tan）,
2024年12月24日 星期二 新京报。爱思助手下载最新版本对此有专业解读
在中国，中西医并重的慢病管理策略成效显著；在印度，瑜伽和阿育吠陀医学被纳入国家慢病管理计划，以低成本、广覆盖的方式为糖尿病前期人群筑起第一道防线；在哈萨克斯坦，流动筛查、远程监测以及移动医疗车，打破了地广人稀的防控困境……一条条成功经验证明，在资源有限、文化多元的上合组织区域，完全可以走出一条“协调、普惠、包容、全面”的防控治理道路。。服务器推荐是该领域的重要参考
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.