iMerit's Agent Evaluation Tool

Optimize your AI development with advanced Agent Evaluation on iMerit’s Angohub platform. This video demonstrates how to move beyond simple model outputs to evaluate complex AI agents through two primary workflows: Human-as-the-Judge and LLM-as-the-Judge. Watch a technical walkthrough featuring an Alphabet SEC 10-K filing, where we show how agents interact to extract non-obvious risks and validate data accuracy Key Highlights: Agent Interaction: See how LLM agents "talk" to one another to verify, validate, and score complex task completions - Human-as-the-Judge: Learn how domain experts provide high-fidelity feedback and scoring based on custom rubrics to refine agent performance - LLM-as-the-Judge: Explore fully automated, closed-loop evaluation where one model acts as an evaluator for another, allowing for rapid scaling - Data Collection for Optimization: Understand how evaluation data is captured to improve future versions of your AI agents - Whether you are building autonomous systems or specialized retrieval agents, Anglhub provides the infrastructure to ensure your Agent Evaluation is precise, scalable, and reliable. #AgentEvaluation #Angohub #AgenticAI #Modelevaluation #Humanintheloop