Conversational interfaces powered by LLM function-calling can make complex ML model explanations more accessible to non-technical domain experts than traditional XAI dashboards, achieving higher accuracy and usability.
This paper presents a conversational AI system that helps facility managers understand complex energy consumption forecasting models through natural language dialogue. Instead of traditional technical dashboards, users can ask questions in plain English, and the system uses modern LLMs to interpret queries and explain model predictions with 94% accuracy.