7 ms·
The custom instructions to the model say: "Please note that this is similar but not identical to the antArtifact syntax which is used for Artifacts; sorry for
by advaith08 2y ago
The custom instructions to the model say:
"Please note that this is similar but not identical to the antArtifact syntax which is used for Artifacts; sorry for the ambiguity."
They seem to be apologizing to the model in the system prompt?? This is so intriguing
- andai 2y agoHas anyone looked into the effect of politeness on performance?
- pawelduda 2y agoIf you assume asking someone nicely is more likely for them to try help you, and this tendency shows in the training set, wouldn't you be more likely to "retrieve" a better answer from the model trained on it? Take this with a grain of salt, it's just my guess not backed by anything
- tkgally 2y agoI've wondered the same thing. I tend to sprinkle my LLM prompts with "please"s, especially with longer prompts, as I feel that "please" might make clearer where the main request to the LLM is. I have no evidence that they actually yield better results, though, and people I share my prompts with might think I'm anthropomorphizing the models.
- dakotasmith 2y agoLarge Language Models Understand and Can Be Enhanced by Emotional Stimuli https://arxiv.org/abs/2307.11760 https://arxiv.org/abs/2307.11760
- lelandfe 2y agoUnfortunately, their prompt engineer learned of Roko's basilisk
- deleted 2y ago[deleted]
- therein 2y agoI wonder if they tried the following: > Please note that this is similar but not identical to the antArtifact syntax which is used for Artifacts; sorry for the ambiguity, antArtifact syntax was developed by the late grandmother of one our engineers and holds sentimental value.
- l1n 2y agoMultiple system prompt segments can be composed depending on needs, so it's useful for this sort of thing to be there to resolve inconsistencies.
- deleted 2y ago[deleted]