Evaluations Are Measuring the Wrong Thing
Most evaluations do not measure the reliability of AI models in production. Here are suggestions for accurate assessment.
AI evaluation tools often test models in isolated environments, focusing on capabilities. However, understanding how they perform in complex and ambiguous real-world situations is crucial. Standard evaluations overlook how models handle errors, highlighting the need for a new approach that assesses reliability in production environments.