Deep learning (DL) creates impactful advances following a virtuous recipe: model architecture search, creating large training data sets, and scaling computation. It is widely believed that growing training sets and models should improve accuracy and result in better products. As DL application domains...
Predictable learning curves and model size scaling indicate some significant implications on how DL could proceed. For machine learning practitioners and researchers, predictable scaling can aid model and optimization debugging and iteration time, and offer a way to estimate the most impactful next steps...
Zhou.Deep learning scaling is predictable, empirically. arXiv preprint arXiv:1712.00409, 2017. High-flyer. Hai-llm:高效且轻量的大模型训练工具, 2023. URL https://www.high-flyer.c n/en/blog/hai-llm. J. Hoffmann, S. Borgeaud, A. Mensch, E. Buchatskaya, T. Cai, E. Rutherford, D. ...
(这里插句补充信息:OpenAI2020年发表的论文引用了百度2019年的相关论文,但是很多人认为百度2017年发布的论文《Deep Learning Scaling is Predictable, Empirically》,才是大模型的理论起源,可惜百度未能坚持到底,为人作嫁了。) 现在我们知道了,参数数量达到1750亿,就可以产生了不起的意识和智能。那么对于transformer的怀疑...
Abadi, M. et al. Tensorflow: a system for large-scale machine learning.12th USENIX Symposium on Operating Systems Design and Implementation, 265–283 (USENIX Association, 2016). Hestness, J. et al. Deep learning scaling is predictable, empirically. Preprint athttps://arxiv.org/abs/1712.00409...
Deep learning scaling is predictable, empirically (2017) arXiv preprint arXiv:1712.00409 Google Scholar [12] Zhou Bolei, Khosla Aditya, Lapedriza Agata, Oliva Aude, Torralba Antonio Object detectors emerge in deep scene cnns (2014) arXiv preprint arXiv:1412.6856 Google Scholar [13] Luxburg Ulr...
gpt2的参数就直接升到了15亿,然后是gpt3的跨越式1750亿。 (这里插句补充信息:OpenAI2020年发表的论文引用了百度2019年的相关论文,但是很多人认为百度2017年发布的论文《Deep Learning Scaling is Predictable, Empirically》,才是大模型的理论起源,可惜百度未能坚持到底,为人作嫁了。) ...
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm [arXiv] Deep Learning Scaling is Predictable, Empirically [arXiv] [article] 2017-11 High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs [arXiv] [article] [code] StarGAN: Unified Generat...
Deep Learning Scaling is Predictable, Empirically ArXiv, abs/1712.00409 A. Kittur,J. Nickerson,Michael Bernstein,E. Gerber,Aaron Shaw,J. Zimmerman,Matthew Lease,J. Horton(2007) NORTHWESTERN UNIVERSITY Cody Coleman,D. Narayanan,Daniel Kang,Tian Zhao,Jian Zhang,Luigi ...
Deep Learning Scaling is Predictable, Empirically Deep learning (DL) creates impactful advances following a virtuous recipe: model architecture search, creating large training data sets, and scaling computation. It is widely believed that growing training sets and models should improve ... J Hestness...