Unlocking AI Conversations: Proven Evaluation Techniques
Evaluating conversational Large Language Models (LLMs) is critical for ensuring their utility, reliability, and safety. Over the years, researchers have developed various methodologies to assess these models, each tailored to specific performance dimensions. Here, we examine the most common approaches to conversational LLM evaluation, highlighting their strengths and limitations.
Automated Metrics
Automated metrics offer quick and scalable ways to evaluate LLMs. These methods compare generated responses against ground-truth data or rely on statistical and semantic properties of language.