Few-shot Learning with Multilingual Language Models
causal language models with the Transformer ar-chitecture similar to GPT-3 (Brown et al.,2020). We study the effect of scaling up model size along both width and depth dimensions. As a result, we compare four models with 564M, 1.7B, 2.9B and 7.5B parameters, respectively. The architecture details are summarized in Table1, where our mod-
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