11 citations · 11 across the 4 of their papers we have counts for
3 papers · 1 filter
Scaling Laws of Global Weather Models
Yuejiang Yu, Langwen Huang, Alexandru Calotoiu +1
Data-driven models are revolutionizing weather forecasting. To optimize training efficiency and model performance, this paper analyzes empirical scaling laws within this domain. We…
DaCe AD: Unifying High-Performance Automatic Differentiation for Machine Learning and Scientific Computing
Afif Boudaoud, Alexandru Calotoiu, Marcin Copik +1
Automatic differentiation (AD) is a set of techniques that systematically applies the chain rule to compute the gradients of functions without requiring human intervention. Althoug…
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Wenqi Jiang, Marco Zeller, Roger Waleffe +2
A Retrieval-Augmented Language Model (RALM) combines a large language model (LLM) with a vector database to retrieve context-specific knowledge during text generation. This strateg…