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Results are shown in Figure 5. Over-all, we see that Choose-175B has a better toxicity price than both PaLM or Davinci. We also observe that every one three styles have enhanced probability of producing toxic continuations because the toxicity from the prompt increases, which happens to be according to the observations of Chowdhery et al. (2022). Just like our experiments in loathe speech detection, we suspect the inclusion of unmoderated social networking texts within the pre-training corpus raises product familiarity with, and for that reason propensity to create and detect, harmful textual content.
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In this particular technical report, we released OPT, a set of auto-regressive language versions ranging in size from 125M to 175B parameters.
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Despite having thorough evaluations, we'd ideally have a lot more streamlined and dependable evaluation setups to guarantee replicability and reproducibility of evaluation situations. Distinctions in prompting kinds and quantity of photographs for in-context Discovering could produce variations that produce distinctive outcomes. We hope that the public launch with the OPT styles will help numerous much more researchers to operate on these important issues.
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We keep out a random validation set of close to 200MB in the pretraining details, sampled proportionally to every dataset’s measurement during the pretraining corpus.
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