AI Model Evaluation: Best Practices for Testing and Validation

Automated excerpt

Evaluating AI models is critical for ensuring quality, safety, and reliability. AI models can make mistakes, show bias, or behave unexpectedly. Evaluation helps you: Red teaming reveals vulnerabilities before deployment.

Selected automatically from source text; not independently written or fact-checked. Read the original for full context.