This section provides the foundational concepts behind AI evaluation practices. Understanding these core principles is essential for building reliable, safe, and effective AI applications that meet performance standards and compliance requirements.
This section covers:
Learn about implementing safety and compliance safeguards for AI systems
Understand how to detect and mitigate AI fabrications and inaccuracies
Explore evaluation strategies for AI systems that process multiple data types
Learn about using AI to evaluate other AI systems’ outputs