Testing AI Models Using Evals: A Practical Guide for QA & ML Engineers
Artificial Intelligence is transforming software development, necessitating new testing methods for AI models. Traditional testing fails due to non-deterministic outputs, making Evals crucial for assessing model accuracy and performance. Evals provide structured evaluation frameworks to measure AI model consistency and regression, integrating seamlessly into CI/CD pipelines for continuous quality assurance.