AI Evaluation Framework
Comprehensive LLM-as-Judge and Human-in-the-Loop evaluation systems for conversational AI accuracy and consistency
Project Overview
Challenge
Ensuring AI responses are accurate, appropriately personalized to user expertise levels, and consistent in tone while adapting to different contexts across multiple languages.
Solution
Developed comprehensive evaluation frameworks combining automated LLM-as-Judge systems with human validation to ensure high-quality, contextually appropriate AI responses.
Key Features
Results & Impact
Significantly improved AI response quality and consistency across the NeuroClima platform, enabling reliable deployment for European policymakers and researchers.
Impact & Results
Project Impact
Significantly improved AI response quality and consistency across the NeuroClima platform, enabling reliable deployment for European policymakers and researchers.
Key Achievements:
Future Impact
This project contributes valuable insights to the advancement of AI research and practical applications.