Large Language Models, Evaluation Metrics, Ethical Considerations, Generalization, Artificial Intelligence.
robustness against adversarial attacks is pivotal. Evaluators must test models across diverse datasets, languages, and tasks to gauge their adaptability and resilience in real-world scenarios. Transparency and Explainability The ‘black-box’ nature of LLMs poses challenges in understanding their