Monitor Domain-Specific AI with Custom Evaluators in Your Environment

Discover how Fiddler's custom evaluators enable you to bring your own domain-specific evaluation criteria to your agentic and LLM applications. In this demo, we show you how to create custom prompts for bias detection, hallucination detection, faithfulness scoring, and other use cases specific to your business needs. Custom evaluators run on batteries-included Fiddler Trust Models, deployable in your own environment without data exposure risks, external API calls, or hidden costs. What you'll see: – Configure custom evaluation prompts with your own definitions and parameters. – Deploy evaluators privately using Fiddler Trust Models in your cloud environment. – Drill down from metrics to trace-level logs to examine custom evaluator outputs and reasoning. – Use UMAP embedding visualizations to identify clusters of faithful versus unfaithful responses for root cause analysis.