Benchmarking LLMs for Real-World Applications: From Numerical Metrics to Contextual and Qualitative Evaluation

The evaluation of large language models (LLMs) has traditionally relied on static benchmarks that prioritize performance metrics such as accuracy, precision, BLEU and standardized tests. However, these metrics frequently fail to capture the deeper rea