We propose an LLM-based framework for automated evaluation of multi-turn Agentic AI systems. By simulating diverse user interactions and assessing sub-task performance, it allows for an innovative approach for systematic testing, which reduces the reliance on expensive manual annotation.
Towards Automated Evaluation of Multi-Turn Agentic AI Systems - Grunddaten
We propose an LLM-based framework for automated evaluation of multi-turn Agentic AI systems. By simulating diverse user interactions and assessing sub-task performance, it allows for an innovative approach for systematic testing, which reduces the reliance on expensive manual annotation.
Towards Automated Evaluation of Multi-Turn Agentic AI Systems - Grunddaten