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BERT
Bidirectional Encoder Representations from Transformers, an encoder-based language representation model.
Benchmark Data Contamination
The presence of evaluation examples or closely related material in training data, potentially inflating benchmark results.
HELM
Holistic Evaluation of Language Models, a framework for evaluating models across scenarios and metrics.
Large Language Model (LLM)
A general-purpose language model trained on large datasets and usually built at substantial scale.
MMLU
Massive Multitask Language Understanding, a benchmark covering many academic and professional subject areas.
Model Card
A structured document that describes a model's intended use, evaluation, limitations, and other important context.
Safety Evaluation
Testing designed to measure risks, harmful behaviors, and the effectiveness of safeguards in an AI system.