Evaluation concepts
MMLU
Massive Multitask Language Understanding, a broad benchmark that tests model performance across many academic and professional multiple-choice subjects.
MMLU is often used as a general indicator of knowledge and reasoning across subjects. Because it spans many domains, it can help compare model families at a high level.
It should not be treated as proof that a model is ready for a specific product workflow. Product decisions still need task-specific evals that include the expected inputs, tools, output formats, latency targets, and failure costs.