GPT-NeoX-20B: an Open-Source Autoregressive Language Model

PROCEEDINGS OF WORKSHOP ON CHALLENGES & PERSPECTIVES IN CREATING LARGE LANGUAGE MODELS (BIGSCIENCE EPISODE 5)(2022)

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摘要
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 permissive license. It is, to the best of our knowledge, the largest dense autoregressive model that has publicly available weights at the time of submission. In this work, we describe GPT-NeoX-20B's architecture and training, and evaluate its performance on a range of language-understanding, mathematics and knowledge-based tasks.
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关键词
Topic Modeling,Machine Translation,Word Representation
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