7 Ways to Test LLMs

Large language models (LLMs) have become essential tools for many organizations, but they have shortcomings, particularly in consistent performance and reliability. To address this, various methods and standards have been developed to test LLMs, including BERTScore, ROUGE, BLEU, MMLU, GLUE, G-Eval, and HELM. Each has its strengths and weaknesses, offering different approaches to measure the efficacy of these models. This overview provides a primer on these metrics, aiding organizations in selecting appropriate evaluation criteria for their LLM applications.