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The effect of various text generation methods on the outputs of GPT-2
When generating text using the GPT-2 Large model, we found that both the method of generation, and text prompt used, have a statistically significant effect on on the output produced. In four out of six trials we found that the Nucleus Sampling method proposed by Holtzman, et all[mfn referencenumber=1]Holtzman, Buys, Du, Forbes, Choi. (2020). The…