Evaluation Metrics for Large Language Models: A Comprehensive Analysis
Abstract Large Language Models (LLMs) in AI rapidly evolve, requiring thorough evaluations to ensure their efficacy, fairness, and reliability. This study expands Chang et al. (2023) LLM assessment methods research to find the best ways to analyze complex systems. Complexity analysis, human evaluations, automated benchmarks, and accuracy measurements are evaluated for pros and cons. A ... Read More
Pages: 7 Words: 1763