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Mixture of Experts (MoE) models have emerged as a primary solution for reducing the computational cost of Large Language Models.
Robust Estimation of a Location Parameter
Peter J. Huber · 1964
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An algorithm with guaranteed convergence for finding a zero of a function
Richard P. Brent · 1971
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Long short-term memory
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Language models are few-shot learners, 2020
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Scaling laws for autoregressive generative modeling, 2020
Tom Henighan, Jared Kaplan, Mor Katz, Mark Chen, Christopher Hesse, Jacob Jackson, Heewoo Jun, Tom B. Brown, Prafulla Dhariwal, Scott Gray, Chris Hallacy, Benjamin Mann, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M. Ziegler, John Schulman, Dario Amodei, and Sam McCandlish · 2020
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Scaling laws for neural language models, 2020
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020
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Gshard: Scaling giant models with conditional computation and automatic sharding, 2020
Dmitry Lepikhin, HyoukJoong Lee, Yuanzhong Xu, Dehao Chen, Orhan Firat, Yanping Huang, Maxim Krikun, Noam Shazeer, and Zhifeng Chen · 2020
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Scaling laws for neural machine translation, 2021
Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, and Colin Cherry · 2021
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Stephen Roller, Sainbayar Sukhbaatar, Arthur Szlam, and Jason Weston · 2021
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Mistral 7b, 2023
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Towards a unified view of sparse feed-forward network in pretraining large language model, 2023
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From sparse to soft mixtures of experts, 2023
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Musiclm: Generating music from text, 2023
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Improving language understanding by generative pre-training
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