OpenBench's technical architecture is built on top of the inspect-ai assessment framework, a design decision that gives it significant scalability advantages. By inheriting the foundational functionality of inspect-ai, OpenBench has a standardized assessment process, reliable documentation of results, and common assessment components.
Developers can easily add new benchmark tests or custom evaluation metrics based on this architecture. Due to the sharing of core components such as the underlying math scorer, the implementation of new tests only needs to focus on specific test logic and does not need to duplicate the underlying functionality. This modular design greatly reduces system maintenance costs and allows OpenBench to continuously integrate the latest advances in evaluation methodologies.
This answer comes from the articleOpenBench: an open source benchmarking tool for evaluating language modelsThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil