MBZUAI graduate’s journey from Eritrea to empowerment
MBZUAI ·
MBZUAI graduate Daniel Gebre from Eritrea has developed iShrink, a compression pipeline that reduces the size of LLMs to run offline on mobile phones and edge devices. Gebre's master's thesis focused on enabling access to cutting-edge AI without requiring internet access, motivated by his experience in under-resourced regions. His journey to MBZUAI began with a Merit Scholarship awarded by the UAE Ministry of Education, leading him to pursue a Master of Science in Machine Learning. Why it matters: This research has the potential to democratize access to AI in areas with limited internet connectivity, particularly in regions like Gebre's homeland, Eritrea.