Exploring the World of Generative AI
In a world that is increasingly crowded with technological advances, there is a field that is attracting more and more interest - Generative AI. Generative AI is an invention that allows computers to generate new data that has never been seen before, including images, music, text, and more. It combines concepts from machine learning, neural networks, and search algorithms to create something new and original.
How Does Generative AI Work?
Generative AI operates by using complex machine learning models, especially structured neural networks in the form of "generative adversarial networks" (GANs) or "transformers". GANs consist of two neural networks, a generator and a discriminator, which compete with each other to create and identify fake data from real data. Meanwhile, transformers, as used in GPT (Generative Pre-trained Transformer) models, use conversations as input to produce quality text.
Generative AI applications
Generative AI has a variety of interesting applications in various industries:
Challenges and Issues
Although Generative AI brings great benefits, it also raises several challenges and ethical issues:
Conclusion
Generative AI opens the door to new possibilities in machine creativity and wide-ranging practical applications. With every step forward in this technology, we need to consider its ethical and social implications and ensure that its use benefits society as a whole. By continuing to explore and understand its potential and challenges, Generative AI has the potential to change the landscape of creativity and innovation in the future.
Prepared by:
Ts. Mohd Rizal Khanafie
Date of Input: 29/02/2024 | Updated: 07/05/2024 | zalaz
Universiti Putra Malaysia
UPM Putra InfoPort - IOI Resort
Jalan Kajang - Puchong
43400 UPM Serdang
Selangor Darul Ehsan