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.
虽然多家机构下调出货预期，但市场总产值却可能维持增长。高盛分析认为，智能手机市场将呈现典型的“量跌价升”结构——虽然全球出货量下修，但由于平均售价上升及产品组合向高端集中，全球智能手机市场总产值仍可望维持微幅增长，2026年预估成长2%，达5810亿美元。
。Line官方版本下载是该领域的重要参考
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比如，和誉医药的第二代FGFR小分子抑制剂ABSK061，在降低对FGFR1抑制的同时，保持对FGFR2/3高选择性，理论上安全性更高。在动物模型中，ABSK061的表现优于Infigratinib，目前ABSK061治疗3-12岁ACH儿童患者的2期临床正在进行中。
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