{
  "abstract": "This survey paper provides an overview of Generative Artificial Intelligence (GenAI), including its fundamental concepts, major architectures, applications, challenges, and future research directions. It discusses important generative approaches such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), transformer-based models, and diffusion models.\n\nThe paper explores applications of GenAI in healthcare, education, finance, software development, scientific research, and cybersecurity. It also examines challenges related to data privacy, bias, hallucinations, interpretability, copyright, computational costs, and responsible AI governance.\n\nFinally, the survey highlights emerging research directions in multimodal AI, model efficiency, human-AI collaboration, and AI safety. It aims to provide students, researchers, and practitioners with a structured understanding of Generative AI and its opportunities for future research.",
  "abstract_shown": true,
  "affiliations": [
    "R.C.Patel college of Engineering and Polytechnic"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Raksha Mali"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/f5e9gevmm35w4.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23526831",
  "fulltext_url": null,
  "id": "f5e9gevmm35w4",
  "issns": [],
  "landing_url": "https://zenodo.org/records/23526831",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": "https://zenodo.org/api/records/23526831/files/GenAI_Survey_paper1.pdf/content",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-21",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/f5e9gevmm35w4.ris",
  "sources": [
    {
      "first_seen": "2026-11-04T12:21:47Z",
      "native_id": "23526831",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23526831"
    }
  ],
  "subjects": [],
  "title": "Generative AI Survey: Architectures, Applications, Challenges, and Future Directions",
  "title_text": "Generative AI Survey: Architectures, Applications, Challenges, and Future Directions",
  "type": "preprint",
  "updated_at": "2026-11-04T12:21:47Z",
  "url": "https://research.draconitic.com/paper/f5e9gevmm35w4",
  "venue": "Zenodo",
  "versions": []
}