Episode Details

Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。

今天的主题是：

When “A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models

Summary

This research paper investigates the impact of incorporating personas into system prompts used for interacting with large language models (LLMs). The authors conducted a large-scale study using 162 personas across 4 families of LLMs and 2,410 factual questions. They found that adding personas does not generally improve performance and may even negatively affect the model's ability to answer factual questions accurately. The researchers further explored potential mechanisms behind persona-based prompting, analyzing factors like gender, domain alignment, word frequency, and prompt similarity, but concluded that the effects of personas on model performance remain largely unpredictable. Despite the lack of consistent positive effects, they suggest that identifying the best persona for each question could lead to better performance, although automatically identifying the best persona proved challenging.

原文链接：https://arxiv.org/abs/2311.10054