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Evaluation
  • Overview
  • Concept
    • Overview
    • Guardrail
    • Hallucination
    • Multimodal AI
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Get Started
Integrations
Best Practices
Cookbooks
SDK Reference
API Reference
Release Notes
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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