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Breaking Writer's Block: Low-cost Fine-tuning of Natural Language
  Generation Models

Breaking Writer's Block: Low-cost Fine-tuning of Natural Language Generation Models

19 December 2020
Alexandre Duval
Thomas Lamson
Gael de Leseleuc de Kerouara
Matthias Gallé
ArXivPDFHTML

Papers citing "Breaking Writer's Block: Low-cost Fine-tuning of Natural Language Generation Models"

3 / 3 papers shown
Title
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
275
1,587
0
18 Sep 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
243
1,817
0
17 Sep 2019
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
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