And interesting test. I didn’t see a mention of the temperature setting used. Temperature controls the probability to pick a token that isn’t the top prediction, which leads to more creative/less robotic results.
For actual input prediction, you probably want the temperature to be zero. But even a model as good as GPT-3 becomes very boring and repetitive with those settings.
For actual input prediction, you probably want the temperature to be zero. But even a model as good as GPT-3 becomes very boring and repetitive with those settings.