Benchmarking LLMs: How We Actually Know What’s Good

Language models are now tested using various benchmarks to compare their capabilities. These tests assess knowledge, reasoning, math skills, coding ability, and performance in multiple languages. Key benchmarks include MMLU for broad knowledge, GSM8K for math reasoning, and HumanEval for code generation. Top models like GPT-4 score well across categories, but performance varies widely, especially in non-English tasks and visual reasoning. Benchmarks help developers choose models for specific applications, though they don't fully measure true intelligence.