Credit: Peacock
Sounds promising, right? I spent some time testing it, but results were poor—high false positives and false negatives, no clear threshold for reliable classification. Plus, it suffers from high inference costs, poor cross-model generalization, difficulty deploying large models locally, and lack of access to closed-source model weights. All in all, it’s neither elegant nor reliable.。PDF资料对此有专业解读
接着，我提供了一些开头，让 Claude 继续续写：，更多细节参见体育直播
Centralized invariants of business logic. If two modules are found to keep the same invariant, they should be merged. It’s difficult to keep invariants in sync between modules.
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