Title: Advanced Generative AI and its application
Prof. Alexis Jinhong Kim (Major of Big Data and AI)
Vice Dean at the College of AI/SW Creative Convergence, Korea
Biography. Prof. Alexis Jinhong Kim is Professor of Department of Software at the PaiChai University, Korea. He received his Ph.D. degrees in Electrical, Electrical and Computer from Sungkyunkwan University, Korea, in 2006. He served or currently serving as a reviewer and Committee for many important Journals, Conferences in Artificial Intelligent, Big Data and Smart Network area so on.
Generative AI is artificial intelligence that can create content responding to a prompt. Generative AI tools such as ChatGPT and tool for generating AI art have demonstrated the potential to transform various aspects of work and creativity. However, the full extent and implications of this transformation are still uncertain, as well as the risks involved. To better understand generative AI, we can examine how it is constructed, what problems it can solve, and how it relates to the broader field of AI and machine learning. Generative AI tools can produce a wide range of plausible texts in seconds and then adapt them according to the user’s feedback to make them more suitable for the intended purpose. This can benefit various industries that require precise and effective communication, such as IT and software organizations that can use AI-generated code or marketing departments that can use AI-generated copy. Any organization needing to produce written material drafts can benefit from generative AI. Organizations can also use generative AI to create more technical content, such as enhancing the resolution of medical images. Organizations can pursue new opportunities and create value by saving time and resources. However, developing a proprietary generative AI model is so costly and complex that it is only feasible for the largest and most well-resourced companies. To utilize generative AI, companies can use existing generative-AI solutions or fine-tune them for a specific task.