Eval provides a framework and leaderboard benchmarking different language models against a standardized set of tests measuring capabilities like reasoning, knowledge, and fluency.
Eval focuses on benchmarking the core model quality - it is not a full testing solution for downstream applications and interfaces built on top of models.
The standard tests measure narrow academic metrics. Real-world applications require validation of business logic, data correctness, personalized performance etc.
Eval ranks public reference models. It does not offer environment to build custom tests for proprietary systems.