<ul><li>LLM evaluation consists of various benchmarks to measure different aspects of AI smarts.</li><li>The benchmarks include HellaSwag for commonsense reasoning, HumanEval for coding skills, TruthfulQA for resistance to misinformation, BIG-bench for creative and diverse language tasks, CodeXGLUE for programming and code understanding, Chatbot Arena for conversational quality, MT Bench for complex conversational ability.</li><li>The benchmarks assess knowledge across different subjects, logical reasoning, coding skills, resistance to misinformation, diverse language tasks, programming capabilities, conversational quality, and multi-turn dialogues.</li><li>The evaluation aims to understand if AI models possess real-world knowledge, can apply everyday logic, understand and write code accurately, provide safe and accurate information, handle unexpected and creative language challenges, assist with programming tasks, engage in coherent conversations, and sustain meaningful dialogues.</li></ul>

How Do We Measure AI Smarts? A Simple Guide to LLM Evaluation

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