Challenges and Opportunities for Data Miners in the Era of Generative AI
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the challenges and opportunities for data miners in the era of generative AI through this keynote lecture from the Large Language Model Day at KDD2024. Delve into how generative AI, particularly Large Language Models and Diffusion Models, has reshaped research in AI, Machine Learning, and Data Mining. Discover how these advancements create both challenges for traditional data mining workflows and unprecedented opportunities to solve real-world problems. Examine two application examples, Material Science and Chip Design, to understand how to harness the power of generative AI in advancing these domains. Learn about the need for new benchmarking, the cross-modality and exploratory nature of these applications, and promising methodologies showing results. Gain insights from Yizhou Sun, a full professor at UCLA's Department of Computer Science, known for her pioneering work in mining heterogeneous information networks and recent focus on deep learning on graphs and neural symbolic reasoning. Read more