A Trump-friendly CNN?
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.
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但关键在于：FunctionGemma 可以轻松地针对你的特定函数进行微调。微调后，准确率跃升至 85%。+27%——这就是“有时有效”和“可用于生产环境”之间的区别。