Electronic Resource

Article - Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers Vol: 12 (Issue): - Hal: 69812–69837

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The launch of ChatGPT in 2022 garnered global attention, marking a significant milestone
in the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past decade, the
introduction of ChatGPT sparked a new wave of research and innovation in the Artificial Intelligence (AI)
domain. This surge has led to the development and release of numerous cutting-edge tools, such as Bard,
Stable Diffusion, DALL-E, Make-A-Video, Runway ML, and Jukebox, among others. These tools exhibit
remarkable capabilities, encompassing tasks ranging from text generation and music composition, image

creation, video production, code generation, and even scientific work. They are built upon various state-
of-the-art models, including Stable Diffusion, transformer models like GPT-3 (recent GPT-4), variational

autoencoders, and generative adversarial networks. This advancement in GAI presents a wealth of exciting
opportunities across various sectors, such as business, healthcare, education, entertainment, and media.
However, concurrently, it poses unprecedented challenges such as impersonation, job displacement, privacy
breaches, security vulnerabilities, and misinformation. To addressing these challenges requires a new
direction for research to develop solutions and refine existing products. In our endeavor to contribute
profound insights to society and advance research on GAI, we present a comprehensive journal which
explores the theoretical and mathematical foundations of GAI state-of-the-art models, exploring the diverse
spectrum of tasks they can perform, examining the challenges they entail, and discussing the promising
prospects for the future of GAI.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

006.33 BEN a

Penerbit

: IEEE (Institute of Electrical and Electronics Engineers)., 2024

Deskripsi Fisik

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Bahasa

English

ISBN/ISSN

2169-3536

Klasifikasi

006.33 BEN a

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Vol: 12 (Issue): - Hal: 69812–69837

Subjek

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Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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