Description:
The following Reprint presents contributions published in the Special Issue entitled "Generative AI and Large Language Models" in Big Data and Cognitive Computing. It brings together recent research on the methods, applications, and evaluation of large language models and related generative AI systems. The volume covers topics such as retrieval-augmented generation, contextual reasoning, agentic workflows, explainability, and trustworthiness, combined with studies in the fields of healthcare, cybersecurity, accessibility, education, finance, and e-governance. By combining methodological advances, comparative analyses, and domain-oriented investigations, this Reprint provides an up-to-date overview of the opportunities and open challenges shaping current research on generative AI and large language models.