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:
Core evaluation paradigms for assessing AI-generated outputs
Key metrics and methodologies for quantifying model performance
Best practices for implementing systematic evaluation procedures
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