69 citations · 69 across the 2 of their papers we have counts for
3 papers
cs.CL2022★ 69 cited
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
Sid Black, Stella Biderman, Eric Hallahan +14
We introduce GPT-NeoX-20B, a 20 billion parameter autoregressive language model trained on the Pile, whose weights will be made freely and openly available to the public through a…
cs.CL2021
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Laria Reynolds, Kyle McDonell
Prevailing methods for mapping large generative language models to supervised tasks may fail to sufficiently probe models' novel capabilities. Using GPT-3 as a case study, we show…
cs.HC2021
Multiversal views on language models
Laria Reynolds, Kyle McDonell
The virtuosity of language models like GPT-3 opens a new world of possibility for human-AI collaboration in writing. In this paper, we present a framework in which generative langu…