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模型評測

Model evaluation covers how AI systems perform on knowledge, reasoning, long-context tasks, and applied workloads, as well as whether benchmark results are trustworthy. It includes score disputes, prompt sensitivity, and cross-model comparisons that help developers judge real deployment readiness.

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