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IEMS 490: Advanced Topics in Large Foundation Models

Description

This course provides an in-depth exploration of advanced topics in the field of large foundation models, focusing on the cutting-edge techniques, applications, and challenges. Students will gain a comprehensive understanding of the state-of-the-art models, including their model architecture, training methodologies, and practical implementations. The course will cover a range of topics, including but not limited to natural language processing, computer vision, reinforcement learning, and multimodal learning. Emphasis will be placed on hands-on projects and research-oriented assignments to foster skills and encourage exploration in this evolving field.