What is AI Benchmark?
TL;DR
Standardized tests for objectively comparing and evaluating AI model performance.
AI Benchmark: Definition & Explanation
AI Benchmarks are standardized tests and evaluation criteria for objectively measuring and comparing AI model performance. Major LLM benchmarks include MMLU (multi-domain knowledge), HumanEval (code generation), GSM8K (mathematical reasoning), HellaSwag (commonsense reasoning), MT-Bench (conversational ability), and Chatbot Arena (human-based relative evaluation). Image generation uses the FID score, while video generation uses VBench. While benchmarks serve as important indicators for model selection, it is important to note that benchmark performance does not always correlate with real-world use case performance, and benchmark optimization (benchmark hacking) remains a known issue.