Implementing AI systems in Government
Jules will speak about his experience implementing AI systems in Government. He will focus on a recent case study – LILT’s generative AI platform which can translate a large amount of content rapidly. When a European law enforcement agency needed a dynamic solution to translate high volumes of content in low-resource languages within tight time constraints, they turned to LILT. LILT’s generative AI platform, powered by large language models, enabled faster translation of time-sensitive information at scale by leveraging NVIDIA GPUs and NVIDIA NeMo, an end-to-end enterprise framework for building, customizing, and deploying generative AI models. Further information: www.nvidia.com/en-gb/case-studies/lilt

Jules leads LILT’s government business in EMEA and Australia. Prior to joining LILT, he was an early partner in a venture fund focussed on dual-use technology. Formerly he was a specialised British Army Officer, deployed in the Middle East and Africa, and published papers on grey zone and asymmetric warfare in multiple Defence journals . He received a first class BA in Music and Russian language and has published papers on technology for musicology. He spends his spare time with his wife, reading, making music, and writing.
Date: 12 November 2024, 13:30 (Tuesday, 5th week, Michaelmas 2024)
Venue: All Souls College, High Street OX1 4AL
Venue Details: Old Library
Speaker: Julian von Nehammer (LILT)
Organising department: Department of Politics and International Relations (DPIR)
Organiser: Changing Character of War Centre (CCW)
Organiser contact email address: elizabeth.robson@pmb.ox.ac.uk
Part of: Changing Character of War (CCW) Seminar Series
Booking required?: Not required
Audience: Public
Editor: Elizabeth Robson