1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DC2024★ 1 cited
AI Benchmarks and Datasets for LLM Evaluation
Todor Ivanov, Valeri Penchev
LLMs demand significant computational resources for both pre-training and fine-tuning, requiring distributed computing capabilities due to their large model sizes \cite{sastry2024c…
cs.LG2024
Enriching the Machine Learning Workloads in BigBench
Matthias Polag, Todor Ivanov, Timo Eichhorn
In the era of Big Data and the growing support for Machine Learning, Deep Learning and Artificial Intelligence algorithms in the current software systems, there is an urgent need o…