Measuring Intelligence: Key Benchmarks and Metrics for LLMs

Large Language Models (LLMs) have become central to advancements in artificial intelligence, driving innovations across industries, from customer service chatbots to advanced research assistants. However, as the use of LLMs expands, so does the need to objectively evaluate their performance to ensure they meet the complex requirements of various applications. Benchmarks have emerged as a critical tool for assessing these models, guiding developers and researchers in understanding their strengths and weaknesses. This article reviews some of the most widely used benchmarks for LLM evaluation, discussing their methodologies, criteria, and limitations.

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