Demystify Large Language Model (LLM) evaluation, breaking down the four main methods used to compare models: multiple-choice benchmarks, verifiers, leaderboards, and LLM judges. We offer a clear mental map of these techniques, distinguishing between benchmark-based and judgment-based approaches to help you interpret performance scores and measure progress in your own AI development. Discover the pros and cons of each method—from MMLU accuracy checks to the dynamic Elo ranking system—and learn why combining them is key to holistic model assessment.

Original blog post: https://magazine.sebastianraschka.com/p/llm-evaluation-4-approaches