MMLU and MMLU-Pro measure AI knowledge but not generation. Image fidelity metrics like FID and CLIP Score judge visual quality, yet none capture real-world performance. True AI evaluation needs open-ended, multi-modal testing.
Discover the most effective visualization techniques for evaluating large language models, from bar charts and scatter plots to heatmaps and parallel coordinates - and learn how to avoid common pitfalls in model assessment.