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Schuh, Günther; Kreimeier, Matthias; Essig, Jennifer; Schulte-Gehrmann, Anna-Lena

doi:10.1007/978-3-642-39771-4_6

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2020

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Cited by 3 publications

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“…However, all of the existing tuning systems require training multiple trials using several times of resources, which is unaffordable for large models with billions of parameters. For example, training a SOTA language model PaLM [123] of Google takes over 6,000 TPU-v4 [124] for around 2 months. Performing a hyperparameter sweep on such model is intractable [125].…”

Section: Introductionmentioning

confidence: 99%

Building efficient and practical machine learning systems

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played pivotal roles in shaping the initial project direction, offering invaluable insights, engaging in constructive discussions regarding the system design, and making significant revisions to the manuscript draft.• I proposed the idea, implemented the system framework, conducted the experiments and wrote the manuscript. • Dr. Peng Sun and Dr. Shengen Yan collected dataset used in experiments and further preprocess the data.

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Section: Introductionmentioning

confidence: 99%