How Do We Measure LLMs? A Simple Guide to Evaluation Metrics

Understanding Evaluation Metrics for Large Language Models by Anupam Tiwari 

As large language models (LLMs) become more capable, evaluating their outputs becomes increasingly important. This presentation provides a concise overview of the most commonly used LLM evaluation metrics ranging from traditional n-gram based measures like BLEU and ROUGE to modern semantic and human-preference-based approaches. It is intended as a quick reference for anyone looking to understand how LLM performance is measured in practice.