Large Language Models (LLMs) present a unique challenge when it comes to performance evaluation. Unlike traditional machine learning where outcomes are often binary, LLM outputs dwell in a spectrum of correctness. Also, while your base model may excel in broad metrics, general performance doesn’t guarantee optimal performance for your specific use cases. Therefore, a … [Read more...] about Beyond Metrics: A Hybrid Approach to LLM Performance Evaluation