Generative Artificial Intelligence: Unveiling the Potential and Challenges
Abstract: Generative artificial intelligence (AI) is a subset of artificial intelligence that has emerged as a transformative technology with the potential to revolutionize various domains, including art, entertainment, research, healthcare, and finance. Generative AI models can generate answers, essays, poems, stories, product descriptions, and all manner of text. They can also produce images, music, audio, video, and synthetic training data. Among the beneficiaries are data scientists, application developers, marketers, sales teams, digital artists, designers in the media, educators, and researchers. On the flip side, generative AI has also heightened risks of potential copyright infringements, data privacy violations, discrimination, deep fakes, and other deceptive practices. This paper presents an in-depth exploration of the foundations of generative AI, its potential applications, and the challenges associated with developing and deploying generative AI models.
Keywords: Diffusion models, Embeddings, Generative adversarial networks, Generative artificial intelligence, Prompt engineering, Transformers, Variational autoencoders
How to Cite?: Brahmaleen Kaur Sidhu, "Generative Artificial Intelligence: Unveiling the Potential and Challenges", Volume 13 Issue 4, April 2024, International Journal of Science and Research (IJSR), Pages: 1127-1135, https://www.ijsr.net/getabstract.php?paperid=SR24414234432, DOI: https://dx.doi.org/10.21275/SR24414234432