Understanding the life cycle of large language models

Researcher

Tatiana Moteu Ngoli

Publications

• Ana Silva, Nikit Srivastava, Tatiana Moteu Ngoli, Michael Röder, Diego Moussallem, Axel-Cyrille Ngonga Ngomo (2024): Benchmarking Low-Resource Machine Translation Systems Full Publication

Collaboration

Christoph Berganski

Research Theme

R1 Human agency

Tags

LLMs Low-Resource Languages

My research project focuses on the understanding of Large Language Models in an end-to-end way and, make AI systems work seamlessly, securely and robustly. In addition, one of the main goal will be to make the large language model faster and efficient in terms of computational without even loosing its features. Using existing state of the art models and prompting strategies we are planing to build at the end a Multilingual Large Language model that can also perform well on low resource languages.