Several metrics that can be used to evaluate Large Language Models. These include accuracy (percentage of correct classifications or solutions), semantic text similarity (meaning-based comparison of content), robustness: Performance on varying, challenging inputs, latency (response time) and cost (based on number of tokens processed).