Concept
Overview
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 x
Guardrails
Learn about implementing safety and compliance safeguards for AI systems
Hallucination
Understand how to detect and mitigate AI fabrications and inaccuracies
Multimodal AI
Explore evaluation strategies for AI systems that process multiple data types
Agent Judge
Learn about using AI to evaluate other AI systems’ outputs
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