News
Decoding Large Language Models: How AI Understands and Generates Language
In the second episode of a two-part video series on AI, Southwestern University Associate Professor of Computer Science Jacob Schrum explains how large language models like ChatGPT convert data to text, and the critical role that humans play in ensuring information is accurate.
December 05, 2024
December 05, 2024
Amid growing concern that artificial intelligence could evolve to the point where it replaces jobs in the workforce, humans continue to play a critical role in the development and managmenet of AI systems. In the second episode of a two-part video series about AI, Southwestern University Associate Professor of Computer Science Jacob Schrum describes the essential “human filter” that is needed to ensure AI programs produce accurate and factual information. Hear more from Dr. Schrum about how large language models like ChatGPT can learn from massive amounts of data, the role humans play in the process, and the principles from biology, neuroscience, philosophy, and psychology that contribute to the success of predictive text algorithms.