19 citations · 19 across the 3 of their papers we have counts for
3 papers
eDIF: A European Deep Inference Fabric for Remote Interpretability of LLM
Irma Heithoff. Marc Guggenberger, Sandra Kalogiannis, Susanne Mayer +3
This paper presents a feasibility study on the deployment of a European Deep Inference Fabric (eDIF), an NDIF-compatible infrastructure designed to support mechanistic interpretabi…
Inference Optimizations for Large Language Models: Effects, Challenges, and Practical Considerations
Leo Donisch, Sigurd Schacht, Carsten Lanquillon
Large language models are ubiquitous in natural language processing because they can adapt to new tasks without retraining. However, their sheer scale and complexity present unique…
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Vanessa Mehlin, Sigurd Schacht, Carsten Lanquillon
Deep Learning has enabled many advances in machine learning applications in the last few years. However, since current Deep Learning algorithms require much energy for computations…