What is it about?

This paper examines the growing field of generative artificial intelligence (AI), focusing on ChatGPT, a popular AI chatbot developed by OpenAI. The study explores how ChatGPT has captured public interest due to its availability and advanced capabilities compared to other chatbots from companies like Google and Meta. By reviewing literature and analyzing current trends, the paper aims to understand the expectations and performance of ChatGPT and its competitors. It highlights the technical foundations of these AI models and discusses their potential impact on various fields, from text generation to image creation.

Featured Image

Why is it important?

The importance of this study lies in its comprehensive analysis of the current state and future potential of generative AI technologies. As AI continues to evolve, understanding its capabilities and limitations is crucial for both technological advancement and societal impact. ChatGPT and similar models represent significant strides in AI development, offering new ways to interact with machines and automating creative processes. This research provides insights into how these technologies can be leveraged across different industries, addresses the challenges they face, and evaluates their potential to transform various aspects of our lives.

Perspectives

The paper also considers the ethical implications and challenges of deploying generative AI at scale. It addresses issues such as reliability, accuracy, and the potential for misuse. Moreover, it provides a comparative analysis of other generative AI tools and models, offering a broader view of the competitive landscape. The study emphasizes the importance of continued research and development to address these challenges and maximize the benefits of AI technologies.

Dr. Enis Karaarslan
Mugla Sitki Kocman Universitesi

Read the Original

This page is a summary of: Is ChatGPT Leading Generative AI? What is Beyond Expectations?, Academic Platform Journal of Engineering and Smart Systems, September 2023, Academic Platform Journal of Engineering and Science,
DOI: 10.21541/apjess.1293702.
You can read the full text:

Read

Contributors

The following have contributed to this page