看起来，还需要人类接管的L3智驾确实落后了。不过我们需要问——
Share your thoughts, experiences, and any questions in the comments below or on our community forums!
，这一点在WPS官方版本下载中也有详细论述
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。
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.