Aside from a temperature of 0, which always results in the same completion, the details and translation examples (aka, in-context learning, few-shot) can force

Aside from a temperature of 0, which always results in the same completion, the details and translation examples (aka, in-context learning, few-shot) can force very reliable results, say, 8/10 times, meaning a sample-and-vote gives consistent results when the temperature is non-zero. Edit: I was not in any way rude nor saying anything incorrect. If you want to see how to do what I’m talking about, here’s an almost finished article describing the above: https://github.com/williamcotton/empirical-philosophy/blob/main/articles/from-prompt-alchemy-to-prompt-engineering-an-introduction-to-analytic-agumentation.md https://github.com/williamcotton/empirical-philosophy/blob/m...