106 citations · 167 across the 26 of their papers we have counts for
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cs.LG2023★ 6 cited
Modyn: Data-Centric Machine Learning Pipeline Orchestration
Maximilian Böther, Ties Robroek, Viktor Gsteiger +4
In real-world machine learning (ML) pipelines, datasets are continuously growing. Models must incorporate this new training data to improve generalization and adapt to potential di…
cs.DC2023
DeltaZip: Efficient Serving of Multiple Full-Model-Tuned LLMs
Xiaozhe Yao, Qinghao Hu, Ana Klimovic
Fine-tuning large language models (LLMs) greatly improves model quality for downstream tasks. However, serving many fine-tuned LLMs concurrently is challenging due to the sporadic,…