Introduction
Evaluating Large Language Models (LLMs) is crucial in artificial intelligence because they're central to many applications, from natural language processing to automated decision-making systems.
By assessing their performance, interpretability, and ethical implications, you gain insights into their strengths and limitations, enabling more effective deployment in real-world scenarios.
This evaluation includes traditional metrics like accuracy and efficiency, as well as broader aspects such as fairness, bias, and generalization across diverse tasks, ensuring that LLMs are reliable, transparent, and aligned with human values.