Understanding the Role of Temperature in Diverse Question Generation by GPT-4

In this paper, we provide We conduct a preliminary study of the effect of GPT's temperature early results from our investigation into the effects of different parameter on the diversity of GPT4-generated questions. We find temperature settings in an MCQ generation pipeline. Existing literature that using higher temperature values leads to significantly higher suggests that content generated by GPT-4 can be homogenous; diversity, with different temperatures exposing different types of temperature provides a way to improve the diversity of the similarity between generated sets of questions. We also demonstrate generated content with minimal prompt engineering [2].