Category: AI Foundations

What are foundation models? ‘AI foundation models’ are defined as “models trained on broad data […] that can be adapted to a wide range of downstream tasks”. They generally use self-supervision at scale, which means these models can learn and label the data themselves during training.

The Foundations of Artificial Intelligence is a research area within Georgia Tech’s School of Computer Science (SCS) that focuses on the development of algorithms that leverage data and statistical tools to solve complex human tasks, to explore novel applications of such tools, and to better understand the apparent ..