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Large Language Models

KAUST-CEMSE-AMCS-PhD-Dissertation-Defense-Lijie-Hu-Towards-Usable-and-Useful-Explainable-A

Towards Usable and Useful Explainable AI

Lijie Hu, Ph.D. Student, Computer Science
Jul 7, 17:00 - 19:00

B3 L5 R5220

explainable AI Large Language Models multimodal models

This talk presents advancements in Explainable AI, spanning from classical deep learning to large language models, with contributions that enhance both the usability and usefulness of interpretability methods to improve trust, performance, and safety in AI systems.

Zaid Alyafeai

Postdoctoral Research Fellow

Arabic NLP Large Language Models Cultural Understanding

Abdelrahman Eldesokey

Postdoctoral Research Fellow

Diffusion Models Computer Vision Large Language Models Retrieval-augmented generation

I am a Postdoctoral Fellow at KAUST, Saudi Arabia, specializing in Generative AI and conducting research on advanced topics in Generative and Large Language Models (LLMs). I bring over 11 years of combined academic and industrial experience in Computer Vision and Deep Learning across Sweden, Egypt, and Saudi Arabia.

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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