LLM

Making LLMs Agentic: How Tool Use and Synthetic Data Drive Real-World Intelligence

Ibrahim Abdelaziz, Senior Research Scientist, IBM

Apr 13, 16:00 - 17:00

B2/3 L0 R0215

LLM machine learning artificial intelligence AI

This talk presents advancements in agentic AI, focusing on creating and utilizing datasets and models that enable Large Language Models to effectively interact with external tools for real-world applications.

Juexiao Zhou

Ph.D. Student, Computer Science

Deep learning Medical imaging Security and Privacy LLM

Juexiao Zhou is a Ph.D. candidate in the KAUST Structural and Functional Bioinformatics research group under the supervision of Professor Xin Gao. Before joining KAUST, Juexiao majored in Bioinformatics and graduated from the Southern University of Science and Technology (SUSTech), located in Shenzhen, Guangdong, China. Research Interests IngIntelligent Healthcare: develop machine learning (ML) / deep learning (DL) techniques for healthcare, including disease detection, risk assessment, etc. Bioinformatics: develop new methods for bioinformatics tasks, including gene regulation understanding