Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

EUREKA: Evaluating and Understanding Large Foundation Models



EUREKA: Evaluating and Understanding Large Foundation Models

Eureka is a reusable and open evaluation framework for standardizing evaluations of large foundation models beyond single-score reporting and rankings. Eureka-Bench is an extensible collection of benchmarks testing capabilities that (i) are still challenging for state-of-the-art foundation models and (ii) represent fundamental but overlooked capabilities for completing tasks in both language and vision modalities. Using the framework and Eureka-Bench, an analysis of 12 state-of-the-art models is conducted, providing in-depth insights for failure understanding and model comparison by disaggregating the measurements across important subcategories of data.

Because these benchmarks are not saturated, they enable the discovery of meaningful differences between models at the capability level. These insights help uncover granular weaknesses for specific capabilities and can inform more targeted improvements in future models. Eureka is released as open-source to foster transparent and reproducible evaluation practices for large foundation models.

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Tags:

  • open access
  • ai
  • benchmark
  • ai evaluation

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.