OpenBench has more than 20 built-in specialized benchmarks covering four main areas:
- knowledge assessment: e.g. MMLU (Multidisciplinary Knowledge Understanding), GPQA (Expert Level Question and Answer)
- reasoning ability: e.g. SimpleQA (Basic Logical Reasoning)
- coding capability: e.g. HumanEval (code generation testing)
- math skills: Includes competition-level topics such as AIME (American Mathematical Olympiad).
These tests are widely used:
- Performance benchmarking in model development
- Multi-model side-by-side comparisons for enterprise sourcing
- Automated regression testing in the CI/CD process
- Capability validation of local models (e.g. deployed via Ollama)
For example, EdTech companies can use MMLU to quickly validate differences in the performance of different models on subject knowledge.
This answer comes from the articleOpenBench: an open source benchmarking tool for evaluating language modelsThe
May not be reproduced without permission:AI productivity tools " What typical benchmarks does OpenBench support? What are their application scenarios?
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