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2023年2月13日 (月) 23:56時点におけるDoyleTrujillo (トーク | 投稿記録)による版 (ページの作成:「I imagine was as well sizzling.13 Then soon after the 8chan issue, it was a shopper for two times and we allow them go. Monster, SC2:44:10: No, I believe entire body, sou…」)
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20 if doable) or if just one is trying for innovative answers (large temp with repetition penalties). I generally stay away from the use of the repetition penalties simply because I feel repetition is important to inventive fiction, and I’d fairly err on the aspect of also a great deal than much too very little, but at times they are a practical intervention GPT-3, unhappy to say, maintains some of the weaknesses of GPT-2 and other likelihood-experienced autoregressive sequence products, these kinds of as the propensity to drop into degenerate repetition. Possibly BO is substantially more helpful for nonfiction/information-processing duties, the place there is one particular right answer and BO can aid overcome mistakes launched by sampling or myopia. Austin et al 2021) one can also experiment in coaching it by way of examples13, or requiring explanations for an remedy to clearly show its get the job done, or inquiring it about former answers or working with "uncertainty prompts". After all, the point of a higher temperature is to consistently select completions which the model thinks aren’t most likely why would you do that if you are hoping to get out a right arithmetic or trivia issue solution? One specially manipulates the temperature location to bias in the direction of wilder or additional predictable completions for fiction, the place creativeness is paramount, it is greatest established higher, maybe as superior as 1, but if a single is hoping to extract things which can be proper or completely wrong, like dilemma-answering, it is much better to set it reduced to assure it prefers the most probable completion