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On the scaled-down versions, it appears to aid strengthen high-quality up in the direction of ‘davinci’ (GPT-3-175b) levels without producing also much issues, but on davinci, it appears to exacerbate the common sampling challenges: specifically with poetry, it’s effortless for a GPT to slide into repetition traps or loops, or spit out memorized poems, and BO can make that considerably far more probably. 5) would seem to aid alternatively than hurt. GPT-2 may need to be trained on a fanfiction corpus to master about some obscure character in a random media franchise & create superior fiction, but GPT-3 by now understands about them and use them appropriately in creating new fiction. A fantastic way to get started is to make samples with the log probs/logits turned on, and paying out notice to how sampling hyperparameters impact output, to gain intuition for how GPT-3 thinks & what samples seems like when sampling goes haywire. One particularly manipulates the temperature location to bias towards wilder or much more predictable completions for fiction, exactly where creativity is paramount, it is most effective set high, possibly as higher as 1, but if one particular is seeking to extract matters which can be proper or mistaken, like query-answering, it’s improved to set it reduced to ensure it prefers the most probable completion