In our latest webinar, "Large Language Models: Challenges and Opportunities," we were pleased to host Dr. Mayur Naik, a professor and graduate chair in the Department of Computer and Information Science at the University of Pennsylvania. Dr. Naik, who previously served at Georgia Tech and Intel Labs, shared his insights on the integration of deep learning and logical reasoning to enhance AI applications. During his presentation, Dr. Naik explored the prevalent challenges faced by users of large language models in various fields including medicine and law, detailing limitations like model hallucinations, specialization issues, and alignment difficulties. He also presented his current research aimed at making AI more interpretable, data-efficient, safe, and straightforward to develop. Key takeaways included innovative approaches to mitigating these challenges and the potential for collaboration to refine these technologies for practical applications.

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