#benchmarks

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easyAI-checkedLLM Fundamentals & Prompting

What does "data contamination" mean when evaluating a large language model on a benchmark?

The benchmark's test data was part of what the model was trained on1
The benchmark's labels contain annotation errors2
The model's training data contains toxic or harmful text3
Several benchmarks test the same skill, so their results are correlated4

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