1 code implementation • 26 Oct 2024 • Theodore Glavas, Joud Chataoui, Florence Regol, Wassim Jabbour, Antonios Valkanas, Boris N. Oreshkin, Mark Coates
The vast size of Large Language Models (LLMs) has prompted a search to optimize inference.
no code implementations • 20 Jun 2024 • Florence Regol, Joud Chataoui, Bertrand Charpentier, Mark Coates, Pablo Piantanida, Stephan Gunnemann
Machine learning models can solve complex tasks but often require significant computational resources during inference.
1 code implementation • 13 Oct 2023 • Florence Regol, Joud Chataoui, Mark Coates
Training an EDNN architecture is challenging as it consists of two intertwined components: the gating mechanism (GM) that controls early-exiting decisions and the intermediate inference modules (IMs) that perform inference from intermediate representations.