ChatGPT has rapidly become a go-to tool for millions, assisting with everything from answering questions to sparking creativity. This session offers a closer look at ChatGPT and how this cutting-edge AI is changing the way we interact with technology. Dr. Mariette Awad explains the basics of how language models like ChatGPT work and discover how they generate human-like conversations. Whether curious about its inner workings or its potential applications across various industries, this session provides a simple and clear understanding of its capabilities.

Upon the completion of this session, participants will be able to:

• Gain insights into the underlying mechanisms that enable ChatGPT to process and generate human-like text, fostering a deeper understanding of its potential and limitations as compared to other language models.
• Explore how ChatGPT can assist in various tasks, such as content generation, information retrieval, language translation, creative writing, and even decision-making processes.
• Gain a comprehensive understanding of the ethical implications and challenges associated with deploying AI language models in different contexts.Witness how ChatGPT is being leveraged in fields such as healthcare, customer service, education, content creation, and research.
• Brainstorm innovative use cases, exchange ideas, and explore collaborative possibilities in harnessing the power of ChatGPT.

The session is designed for all learners, regardless of their prior knowledge or experience in the subject matter.

The session is available for learners from various fields or disciplines who are eager to learn and grow regardless of their backgrounds and levels of expertise.

Dr. Mariette Awad is an Associate Professor in the Electrical and Computer Engineering Department of the American University of Beirut. She received her PhD in electrical engineering in 2007 and was a visiting professor at Virginia Commonwealth University, Intel Mobile Group, and MIT. She was invited by CVC labs, Google and Qualcomm to present her work on machine learning and image processing. She published a book “ Efficient Machine Learning” in 2015 as well as numerous conferences and journals and is managing few grants. She is an active member in IEEE and reviewer for IEEE transactions. Prior to her academic position, she was with IBM System and Technology group in Vermont as a wireless product engineer where she earned management recognition, several business awards, and multiple patents.