2005.14165

URI: https://gptkb.org/entity/2005.14165

GPTKB entity

Predicate	Object
gptkbp:instanceOf	arXiv preprint
gptkbp:allows	Language models have been shown to perform well on a wide range of tasks when provided with a few examples, a setting known as 'few-shot learning'. This paper investigates the performance of large language models in this regime.
gptkbp:arXiv_category	cs.CL stat.ML
gptkbp:author	gptkb:Ilya_Sutskever gptkb:Aditya_Ramesh gptkb:Girish_Sastry gptkb:Mark_Chen gptkb:Sandhini_Agarwal gptkb:Gretchen_Krueger gptkb:Ariel_Herbert-Voss gptkb:Arvind_Neelakantan gptkb:Benjamin_Chess gptkb:Benjamin_Mann gptkb:Christopher_Berner gptkb:Christopher_Hesse gptkb:Clemens_Winter gptkb:Daniel_M._Ziegler gptkb:Eric_Sigler gptkb:Mateusz_Litwin gptkb:Melanie_Subbiah gptkb:Nick_Ryder gptkb:Prafulla_Dhariwal gptkb:Pranav_Shyam gptkb:Tom_B._Brown gptkb:Scott_Gray gptkb:Jack_Clark gptkb:Alec_Radford gptkb:Amanda_Askell gptkb:Dario_Amodei gptkb:Jared_Kaplan gptkb:Rewon_Child gptkb:Sam_McCandlish gptkb:Tom_Henighan gptkb:Jeffrey_Wu
gptkbp:citation	GPT-3 paper
gptkbp:date	2020-05-28
https://www.w3.org/2000/01/rdf-schema#label	2005.14165
gptkbp:memberSchool	gptkb:OpenAI
gptkbp:title	gptkb:Language_Models_are_Few-Shot_Learners
gptkbp:url	https://arxiv.org/abs/2005.14165
gptkbp:bfsParent	gptkb:Language_Models_are_Few-Shot_Learners
gptkbp:bfsLayer	6