International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

The GenAI Code: Cracking the Genetic Blueprint of Artificial Creativity

Abstract

Generative Artificial Intelligence (AI) has emerged as a transformative technology with wide-ranging applications in fields such as natural language processing, computer vision, and creative content generation. This research paper provides a comprehensive review of recent advancements in generative AI, highlighting key methodologies, breakthroughs, and their impact on various domains.

The paper begins by discussing the evolution of generative AI, tracing its roots from early neural network models to the current state-of-the-art deep learning techniques. It explores the fundamental concepts behind generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers, which have revolutionized the field.

In conclusion, this research paper provides a holistic overview of generative AI's progression, current capabilities, and future potential. As generative AI continues to evolve, it offers new opportunities for innovation, while also raising critical questions about ethics, privacy, and security that necessitate ongoing research and discussion.

Country : India

1 Ravi Shaw2 Pranoy Patra3 Madhura Sarkar4 Rupa Saha

  1. Student, Department of Computer Application, Narula Institute of Technology, Kolkata, India
  2. Student, Department of Computer Application, Narula Institute of Technology, Kolkata, India
  3. Student, Department of Computer Application, Narula Institute of Technology, Kolkata, India
  4. Assistant Professor, Department of Computer Application, Narula Institute of Technology, Kolkata, India

IRJIET, Volume 7, Issue 10, October 2023 pp. 688-691

doi.org/10.47001/IRJIET/2023.710090

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