Abstract: Recent advances in the field of artificial intelligence (AI) have created new ways for machines to process information, moving from tasks that focus on analyzing and distinguishing data to more complex and creative activities using generative AI. By using deep generative models, generative AI can create new and realistic content like text, images, or code in different areas, based on simple user instructions. This paper offers a complete introduction to the basics of generative AI, including its key ideas and future possibilities. This paper explain important terms and methods, describe the main features of generative AI, and discuss its opportunities and challenges. It stresses the importance for researchers and practitioners to understand the unique aspects of generative AI so they can use its strengths, manage its risks, and help build a better understanding of it.
Keywords: Generative AI, Artificial intelligence, Deep learning, Deep generative models, Large language model.
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DOI:
10.17148/IJARCCE.2026.15209
[1] Dr. J.Vimal Rosy, "Generative Artificial Intelligence: Foundations, Methodologies, and Emerging Applications," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15209